Comprehensive R package development agent with 7 specialized agents, 6 workflow commands, and 12 methodology skills covering package creation, testing, documentation, pkgdown websites, and CRAN/Bioconductor submission
Production-quality Manim animation agent for creating 3Blue1Brown-style mathematical visualizations with 6 specialized agents, 4 workflow commands, and 6 methodology skills
Expert ITC agents for indirect treatment comparison modelling in R with 7 specialized agents, 6 methodology skills, and 2 workflow orchestrators following NICE DSU guidance
Claude agent ecosystem for creating and reviewing Bayesian model specification files supporting Stan (cmdstanr), PyMC (Python), JAGS (R2jags), and WinBUGS (R2WinBUGS)
Comprehensive R data science and biostatistics agents for tidy modelling workflows with 10 specialized agents, 12 methodology skills, and 7 workflow orchestrators following TMwR and tidyverse best practices
Comprehensive biostatistics agent ecosystem for R with 30 specialized agents, 17 workflow commands, and 45 methodology skills covering Bayesian modeling, indirect treatment comparisons, tidy R workflows, and clinical trial simulations
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, review, and render production-quality mathematical animations using Manim Community Edition
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Create, review, and render production-quality mathematical animations using Manim Community Edition
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization