Ahmad Sofi-Mahmudi
Community@choxos · Toronto, Canada
GNU/Linux Enthusiast, Open Science Advocate
Agent Skills by Ahmad Sofi-Mahmudi
Showing 42 vetted skills indexed across 4 GitHub repositories.
pkgdown-website
Generate and deploy pkgdown documentation websites for R packages.
R Package Structure
Explains R package directory layouts, build files, and package states.
bioconductor-submission
Guide R package submission to Bioconductor with versioning and BiocCheck validation.
Package Dependencies
Guide R package dependency management across DESCRIPTION file sections.
R Code Patterns for Packages
Guide R package code with namespace management and safe state handling.
Data in R Packages
Incorporate exported, internal, and raw data into R packages with CRAN compliance.
Testing Patterns with testthat
Implement testthat 3rd edition testing strategies for R packages.
cran-submission
Guides R package submission to CRAN with pre-submission checks and R CMD check fixes.
roxygen2 Documentation
Document R package functions, data, and packages using roxygen2 tags and Markdown.
hex-logo
Generate hexagonal R package logos with hexSticker, showtext, and ggplot2.
licensing
Guide R package license selection and configuration for CRAN submission.
github-actions
Automate GitHub Actions workflows for R package development with r-lib/actions v2.
stan-fundamentals
Explain Stan 2.37 program structure, types, distributions, and workflow patterns.
pymc-fundamentals
Educates users on writing and diagnosing PyMC 5 Bayesian models with ArviZ.
meta-analysis
Compute Bayesian meta-analysis with Stan and JAGS across fixed and random effects.
hierarchical-models
Provide structured patterns for hierarchical Bayesian modeling in Stan and JAGS.
bugs-fundamentals
Teach BUGS/JAGS modeling with precision parameterization and R integration.
time-series-models
Fit Bayesian AR, MA, ARMA, and state-space models using Stan or JAGS.
regression-models
Solve Bayesian regression modeling tasks using Stan and JAGS templates.
survival-models
Implement Bayesian survival models with censoring using Stan and JAGS.
model-diagnostics
Identify and summarize MCMC convergence diagnostics for Bayesian models.
Model Tuning Patterns
Automate hyperparameter optimization for tidymodels workflows using grid, Bayesian, and racing strategies.
Model Evaluation Patterns
Quantifies model performance for classification, regression, and survival tasks using yardstick R packages.
Recipes Feature Engineering Patterns
Automate pattern-based feature engineering for tabular data in R.