A meta-analysis package for R
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Updated
Dec 16, 2025 - R
A meta-analysis package for R
Recursive Partitioning for Structural Equation Models
Hierarchical Climate Regionalization
Source code for R package chebpol on CRAN
Compute scagnostics on your scatterplots
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 Extended Dynamic Factor Machine Learner multivariate forecasting method
R package implementing Multivariate Error Measures for time series forecasting
msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
Usage examples for the micompr R package
Multivariate independent comparison of observations.
Multivariate analysis of data and geographic display of results
Families of multiple regression models
Repository that contains a set of functions for bnlearn package discrete models: multi-variable prediction and evaluation metrics
A multivariate and spatio-temporal stochastic weather generator in R
Functions for Wishart distributions, including sampling from the inverse Wishart and sampling from the Cholesky factorization of a Wishart.
This is an Excel file that generates a multivariate plot with Numeric data. R code for the implementation is also provided. VBA script is available in Excel file
Supervised Component Generalised Linear Regression for mixed models
R package for displaying multivariate data through a quasi-Chernoff visualization
A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.
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