Comprehensive R analytics skill for Claude Code with 93 package-level skills covering data manipulation, visualization, machine learning, web development, spatial analysis, and more.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R randomForest package for random forest models. Use for classification and regression with ensemble of decision trees.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R rpart package for decision trees. Use for recursive partitioning classification and regression trees.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R tidymodels package for machine learning. Use for modeling workflows with recipes, parsnip, tune, and yardstick.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R DALEX package for model explanations. Use for explaining complex machine learning models.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R packages for ML interpretability. Use for explaining and interpreting machine learning models.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R iml package for interpretable ML. Use for model-agnostic interpretability methods.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R lime package for local explanations. Use for explaining individual predictions with local interpretable models.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R vip package for variable importance. Use for computing and visualizing variable importance scores.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R regularized regression. Use for lasso, ridge, elastic-net with glmnet, and penalized regression.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R glmnet package for regularized regression. Use for lasso, ridge, and elastic-net regularization.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R survival analysis. Use for Kaplan-Meier, Cox regression, survival curves with survival and survminer.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R survival package for survival analysis. Use for Kaplan-Meier curves, Cox regression, and time-to-event analysis.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R survminer package for survival visualization. Use for publication-ready Kaplan-Meier plots and forest plots.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R time series forecasting. Use for prophet, forecast, fable, ARIMA, and exponential smoothing.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R fable package for tidy time series forecasting. Use for modern forecasting with tsibble integration.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R forecast package for time series forecasting. Use for ARIMA, ETS, and automatic forecasting.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R prophet package for time series forecasting. Use for forecasting with seasonality, holidays, and trend changes.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R tsibble package for tidy time series. Use for temporal data structures with tidyverse integration.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R tree-based models. Use for random forests, decision trees, and ensemble methods with ranger, randomForest, rpart.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R ranger package for random forests. Use for fast implementation of random forests for classification and regression.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R network analysis packages. Use for graph analysis, social network analysis, network visualization, and community detection.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R network analysis with igraph, sna. Use for centrality, community detection, and network metrics.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R igraph package for network analysis. Use for graph creation, analysis, centrality, community detection, and visualization.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R network package for network data. Use for creating and manipulating network objects.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: