Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model.

Design dose escalation using Bayesian logistic regression modeling in Phase I oncology trial.

Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.

Deriving skill structures from skill assignment data for courses (sets of learning objects).

This package implements higher order likelihood-based inference for logistic and loglinear models.

This package provides functions and Data to support Context Driven Exploratory Projection Pursuit.

This package provides functions and datasets from the book "Forest Analytics with R".

Statistical functions to fit, validate and describe a Generalized Waring Regression Model (GWRM).

Hierarchical and single-level non-negative matrix factorization. Several NMF algorithms are available.

This package provides functions for the fitting and summarizing of heteroscedastic t-regression.

This package provides a fast (C) implementation of the iterative proportional fitting procedure.

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.

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

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

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.

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

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

The R equivalent of nodemon'. Watches specified directories for file changes and reruns a designated R script when changes are detected. It's designed to automate the process of reloading your R applications during development, similar to nodemon for Node.js'.

This package provides a very lightweight package that writes out log messages in an opinionated way. Simpler and lighter than other logging packages, rlog provides a compact feature set that focuses on getting the job done in a Unix-like way.