Logger to keep track of informational events and errors useful for debugging.

R functions for the estimation and eigen-decomposition of multivariate autoregressive models.

This package provides a companion to the Chinese book ``Modern Statistical Graphics''.

Estimate False Discovery Rates (FDRs) for importance metrics from random forest runs.

Produce small area population estimates by fitting census data to survey data.

Create structured, formatted HTML tables of in a flexible and convenient way.

Regularized Greedy Forest wrapper of the Regularized Greedy Forest <https://github.com/RGF-team/rgf/tree/master/python-package> python package, which also includes a Multi-core implementation (FastRGF) <https://github.com/RGF-team/rgf/tree/master/FastRGF>.

This package provides tools for analysis of ChIP-seq and other functional sequencing data.

This package provides a comprehensive collection for structural multivariate function estimation using smoothing splines.

This package provides David Scott's ASH routines ported from S-PLUS to R.

This package provides a number of methods for creating and augmenting Latin Hypercube Samples.

This package provides an implementation of dimensionality reduction via regression using Kernel Ridge Regression.

This package performs analysis of polynomial regression in simple designs with quantitative treatments.

Calculates the normalized mutual information (NMI) of two community structures in network analysis.

Generate Stochastic Branching Networks ('SBNs'). Used to model the branching structure of rivers.

Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers.

This package provides tools for exporting and importing classification trees and clusters to other programs.

This package provides tools for analyzing EWAS, methQTL and GxE genome widely.

Analyze thermal proteome profiling (TPP) experiments with varying temperatures (TR) or compound concentrations (CCR).

Plot party trees in left-right orientation instead of the classical top-down layout.

This package provides functions to test and compare causal models using Confirmatory Path Analysis.

Finds a low-dimensional embedding of high-dimensional data, conditioning on available manifold information.

Gradient-Enhanced Kriging as an emulator for computer experiments based on Maximum-Likelihood estimation.

Computes multiple correlation coefficient when the data matrix is given and tests its significance.