an R package for structural equation modeling and more
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Updated
Dec 10, 2025 - R
an R package for structural equation modeling and more
Development repository for the Bioconductor package 'mixOmics '
Interfaces for Multivariate Analysis in R
An R package for Bayesian structural equation modeling
A collection of Poisson lognormal models for multivariate count data analysis
energy package for R
R package for fitting joint models to time-to-event data and multivariate longitudinal data
manage ordinations and render biplots in a tidyverse workflow
MoMA: Modern Multivariate Analysis in R
Markov random fields with covariates
metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
R/Bioconductor package - STRUCT (STatistics in R Using Class Templates) Toolbox: An extensive set of data (pre-)processing and analysis methods and tools for metabolomics and other omics,
R package plsdepot
Multivariate Data Analysis - ❗ This is a read-only mirror from https://codeberg.org/tesselle/dimensio
Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)
Data analysis for colorectal cancer projects, mainly using metabolomics data.
R/Bioconductor package - STRUCT: STatistics in R Using Class Templates
mvtests: a suite of functions for testing genetic associations of multiple traits (a.k.a. cross-phenotype associations)
Helper Functions For Dealing With GCMS and LCMS data from IonAnalytics
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