garberadamc

project-site

Projects & teaching materials.

NTNU-workshop

SEM-Lab10

Observed Response Patterns and Latent Profile Analysis - University of California, Santa Barbara - Structural Equation Modeling

Quant-Fish-END

A repository for the QuantFish course *with Mplus files included* https://www.goquantfish.com/courses/mplus-automation

SIM-REPLICATION

A replication of analyses presented in Muthén & Muthén (2002)

ggradarDemo

hugo-website

How to make a website (with Dina & Alison Hill)

Intro_to_Rvest

LTA-FAQ

Repository associated with LTA-FAQ paper.

Multi-Reg

Quant-Fish-START

A repository for the QuantFish course *without Mplus files included* https://www.goquantfish.com/courses/mplus-automation

3step-ML-Method

acg-distill

BCH-Method

Fit-Summary-Table-LCA-LTA

here_demo

Demonstration of how to use the here package with a video tutorial

LCA-COPING-BD

Supplemental materials for coping strategies paper (in progress).

learnr_app

Support - learnR mini-apps

MplusAutomation

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 developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.

MplusAutomation-1

:exclamation: This is a read-only mirror of the CRAN R package repository. MplusAutomation — An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus. Homepage: https://github.com/michaelhallquist/MplusAutomation

MR-214C

Multiple Regression Write-Up

my_site_adam_garber

NTNU-start

This repository does not have the Mplus models estimated. See the completed repository "NTNU-workshop" which contains all models.

QF-Getting-Started

SEM-Lab7

Ten Growth Models - University of California, Santa Barbara

SEM-Lab9

Mixture Models with Covariates and Distal Outcomes - University of California, Santa Barbara - Structural Equation Modeling

simulateLCA

site

tidy-mplus-auto-book

us-potus-model

Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.