Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed. Provides summary and visualization functions for randomForest results.

This package provides utility functions that extend the capabilities of the reference-based multiple imputation package rbmi'. It supports clinical trial analysis workflows with functions for managing imputed datasets, applying analysis methods across imputations, and tidying results for reporting.

This package provides a thin wrapper around the tiktoken-rs crate, allowing to encode text into Byte-Pair-Encoding (BPE) tokens and decode tokens back to text. This is useful to understand how Large Language Models (LLMs) perceive text.

This package provides functions to perform propensity score matching on rolling entry interventions for which a suitable "entry" date is not observed for nonparticipants. For more details, please reference Witman et al. (2018) <doi:10.1111/1475-6773.13086>.

This package provides fast implementations of Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation.

Streamlined statistical reporting in Rmarkdown environments. Facilitates the automated reporting of descriptive statistics, multiple univariate models, multivariable models and tables combining these outputs. Plotting functions include customisable survival curves, forest plots from logistic and ordinal regression and bivariate comparison plots.

This package provides a stereo reverb LADSPA plugin based on the well-known greverb.

This package provides data from 6 samples across 2 groups from 450k methylation arrays.

This package contains functions useful for data screening, testing moderation, mediation and estimating power.

This package provides C code used by the wmtsa, fractal, and sapa R packages.

This package performs sparse linear discriminant analysis for Gaussians and mixture of Gaussian models.

Guile-redis provides a Scheme interface to the Redis key-value cache and store.

Redo provides various means to add seamless ability to retry to any Python callable.

The Libxml-Ruby project provides Ruby language bindings for the GNOME Libxml2 XML toolkit.

This package provides support for encoding and decoding binary data using a Base64 representation.

Flores is a fuzzing, randomization, and stress library to help tests uncover more bugs.

This library makes it easier to discover the truth values of various Ruby objects.

Hashie is a collection of classes and mixins that make Ruby hashes more powerful.

Sentry provides a gem that provides a client interface for the Sentry error logger.

This package provides a package containing an environment representing the Bovine.cdf file.

This package provides a package containing an environment representing the CYP450.CDF file.

This package provides a package containing an environment representing the Citrus.cdf file.

This package provides a package containing an environment representing the Canine.cdf file.

This package provides a package containing an environment representing the Cotton.cdf file.