brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

👻 Utilities for analyzing Bayesian models and posterior distributions

R package for MetaboAnalyst

An R package for experimental psychologists

Biological Age Calculations Using Several Biomarker Algorithms

Lesson files for Practical Applications in R for Psychologists.

Data and Code for Methods in Biostatistics in R

The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program deve…

miceRanger: Fast Imputation with Random Forests in R

Easily carry out Latent Profile Analysis (LPA) using open-source or commercial software

Polytomous Variable Latent Class Analysis (R package)

Implements the American Heart Association (AHA) Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations, with optional comparison with both the original Pooled Cohort Equations (PCEs) …

Single cell transcriptomics reveals cerebrospinal fluid immune dysregulation during healthy brain aging and cognitive impairment

❗ This is a read-only mirror of the CRAN R package repository. mclust — Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation. Homepage: https://mclust-org.g…

Integrating LASSO and bootstrapping algorithm to find best prognostic or predictive biomarkers

Crossmapped phenotype ontologies for the oncology domain

An R Package for Multiple-Group Latent Class Analysis

Latent Class analysis: This module allows users to conduct LCA, Multiple group LCA, and Multilevel LCA based on glca R package, and provide plot such as Profile plot and Radar chart within module.

Toolbox for exposome data analysis

An R package for Stat 216 and 337 at Montana State

Easy Neuropsychological Assessment of Patients Scores and Deficits

An extension of the MplusAutomation package, MplusLGM is designed to facilitate the implementation of mixture models in Mplus.

A statistical tool for power calculation of predictive biomarker in prospective and retrospective studies.

code and data for basics of multilevel modeling tutorial

An R package for computing neuropsychological normative data

R interface to Mplus: prepare data and input, parse output

R code for the upcoming book "Model-Based Clustering, Classification and Density Estimation Using mclust in R"

An unsupervised learning approach for clustering joint trajectories of Alzheimer's disease biomarkers and cognitive measures

Repository associated with LTA-FAQ paper.