an R package for structural equation modeling and more

Development repository for the Bioconductor package 'mixOmics '

An R package for Bayesian structural equation modeling

A collection of Poisson lognormal models for multivariate count data analysis

Interfaces for Multivariate Analysis in R

R package for fitting joint models to time-to-event data and multivariate longitudinal data

R package plsdepot

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.

energy package for R

metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.

manage ordinations and render biplots in a tidyverse workflow

Markov random fields with covariates

MoMA: Modern Multivariate Analysis in R

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,

Cross-validation-based maximal associations

An interactive interface via loon to the R package tourr

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)

Multivariate analysis is conceptualized by tradition as the statistical study of experiments in which multiple measurements are made on each experimental unit and for which the relationship among multivariate measurements and their structure is important to the experiment's understanding. For instance, in analyzing financial instruments, the rel…

An R package for Bayesian structural equation models that account for the influence of minor factors

Final project of 'Applied Statistics' Course, aiming on helping stakeholders and policy makers in making decisions on best-possible actions to boost digital transformation of local public services in the European Union.