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

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.

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

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

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.

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

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

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

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).

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

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

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.