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brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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) …
Miscellaneous R functions, R report templates, and complete example R analysis scripts in Quarto and RMarkdown
Programming accompaniment to a graduate course on longitudinal modeling (PSYC-564) at the University of Victoria
A collection of MPlus datasets and INP templates for study purposes.
A R workshop aims to guide everyone with no prior experience in R to feel comfortable with coding and eventually apply R coding skills in research projects.
Demonstrate the speed of running an LCA analysis using MplusAutomation
R package to plot loading, correlation matrix, scree plot, etc. from MPLUS output.
Extract the Results Stored in the H5 File Saved From Mplus
R and Mplus 8 Syntax for the nlpsem Package Companion Documentation
R and Mplus code for the manuscript Nelson, LD et al. “Data-driven characterization of traumatic brain injury severity from clinical, neuroimaging, and blood-based indicators,” which used item resp…
This repository walks through latent profile analysis using `tidyLPA` and `MplusAutomation`.
An R package for Stat 216 and 337 at Montana State
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.
R interface to Mplus: prepare data and input, parse output
Here is the code for running growth mixture modelling trajectories in MPlus
A repository for the QuantFish course *with Mplus files included* https://www.goquantfish.com/courses/mplus-automation
code and data for basics of multilevel modeling tutorial
An extension of the MplusAutomation package, MplusLGM is designed to facilitate the implementation of mixture models in Mplus.
R and Mplus code used in the book "Meta-analysis: A structural equation modeling approach"
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
Data and Code for Methods in Biostatistics in R