This package provides a Joint PENalty Estimation of Covariance and Inverse Covariance Matrices.

Assign and listen to keyboard shortcuts in shiny using the Mousetrap Javascript library.

Learning a mixed directed acyclic graph based on both continuous and categorical data.

Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.

This package provides tools and functions to fit a multilevel index of dissimilarity.

Estimate the non-linear odds ratio and plot it against a continuous exposure.

Search and extract data from the Organization for Economic Cooperation and Development (OECD).

Estimate large covariance matrices in approximate factor models by thresholding principal orthogonal complements.

Testing the mediation effect of multiple SNPs on an outcome through a mediator.

Density, distribution function, the quantile function, random generation function, and maximum likelihood estimation.

Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials.

Detection and visualizations of gross chromosomal aberrations using Affymetrix expression microarrays as input.

Annotation data file for cMAP assembled using data from public data repositories.

Access to igv.js, the Integrative Genomics Viewer running in a web browser.

Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.

Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.

This package provides methods and models for handling zero-inflated single cell assay data.

This tool detects batch effects in high-dimensional data based on chi^2-test.

This package provides tools for generating and handling of Universally Unique Identifiers (UUIDs).

This package provides miscellaneous functions commonly used in other packages maintained by Yihui Xie.

This package provides qualitatively constrained (regression) smoothing splines via linear programming and sparse matrices.

This package provides building blocks for the design and analysis of multiobjective optimization algorithms.

This package provides tools to create Class Cover Catch Digraphs, neighborhood graphs, and relatives.

This package provides convenience functions for analyzing factorial experiments using ANOVA or mixed models.