an R package for structural equation modeling and more
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Updated
May 15, 2024 - R
an R package for structural equation modeling and more
Interfaces for Multivariate Analysis in R
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
R package for fitting joint models to time-to-event data and multivariate longitudinal data
Markov random fields with covariates
manage ordinations and render biplots in a tidyverse workflow
MoMA: Modern Multivariate Analysis in R
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 package plsdepot
R/Bioconductor package - STRUCT (STatistics in R Using Class Templates) Toolbox
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
Helper Functions For Dealing With GCMS and LCMS data from IonAnalytics
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
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