Overload utils::'? to build unary and binary operators from existing functions, piping operators of different precedence, and flexible syntaxes.

This package provides a tool to operate a batch of univariate or multivariate Cox models and return tidy result.

Test function arguments with a wide array of inputs, and produce reports summarizing messages, warnings, errors, and returned values.

FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.

This package provides a utility to facilitate the logging and review of R programs in clinical trial programming workflows.

This package contains a suite of shiny applications meant to explore linear model inference feature through simulation and games.

Read and write access to PNG image files using the LodePNG library. The package has no external dependencies.

Model selection and averaging for regression and mixtures, inclusing Bayesian model selection and information criteria (BIC, EBIC, AIC, GIC).

Permutation tests for variance components for 2-level, 3-level and 4-level data with univariate or multivariate responses.

Data sets and sample analyses from Pinheiro and Bates, "Mixed-effects Models in S and S-PLUS" (Springer, 2000).

An application for the empirical extrapolation of time features selecting and summarizing the most relevant patterns in time sequences.

Facilitates building a nesting or hierarchical structure as a list or data frame by using a human friendly syntax.

This package provides a collection of functions to analyse --omics datasets such as DNA methylation and gene expression profiles.

Software to simulate population change across space and time. Visintin et al. (2020) <doi:10.1111/2041-210X.13354>.

Customise Shiny disconnected screens as well as sanitize error messages to make them clearer and friendlier to the user.

Block-diagonal covariance selection for high dimensional Gaussian graphical models. The selection procedure is based on the slope heuristics.

This package provides methods and tools for generating forecasts at different temporal frequencies using a hierarchical time series approach.

This package implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.

Gene Set Enrichment Analysis of P-value based statistics for outlier gene detection in dataset merged from multiple studies.

This package provides a set of annotation maps describing the entire MeSH assembled using data from MeSH.

This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART to RNA-Seq data.

MEDME allows the prediction of absolute and relative methylation levels based on measures obtained by MeDIP-microarray experiments.

This package provides many functions for computing the nonparametric maximum likelihood estimator (NPMLE) for censored and truncated data.

This package provides a computationally stable approach of fitting a Gaussian Process (GP) model to a deterministic simulator.