A meta-analysis package for R

Hierarchical Climate Regionalization

Recursive Partitioning for Structural Equation Models

Functions for Wishart distributions, including sampling from the inverse Wishart and sampling from the Cholesky factorization of a Wishart.

Source code for R package chebpol on CRAN

Bayesian network analysis in R

msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden

Multivariate independent comparison of observations.

This link shows the codes in the paper: Robust Two-Layer Partition Clustering of Sparse Multivariate Functional Data. Please read readme.file first.

Compute scagnostics on your scatterplots

Repository that contains a set of functions for bnlearn package discrete models: multi-variable prediction and evaluation metrics

R package implementing Multivariate Error Measures for time series forecasting

This repository contains R code that explains graphically how a few different multivariate statistical techniques work. Topics covered are distance measures, principal component analysis, permutational analysis of variance, and partial least squares regression.

Multivariate analysis of data and geographic display of results

R package for displaying multivariate data through a quasi-Chernoff visualization

R code to reproduce analyses in "Rapid winter warming could disrupt coastal marine fish community structure" (Clark et al, Nature Climate Change, 2020)

R package implementing the multivariate (multi-univariate) extension of the benchmarks used for the M

Multivariate quantile function from discrete approximation of continuous probability distribution function

Supervised Component Generalised Linear Regression for mixed models

Analyses from Orians et al. 2019 https://doi.org/10.1093/aob/mcz004