structural-equation-modeling
There are 85 repositories under structural-equation-modeling topic.
yrosseel/lavaan
an R package for structural equation modeling and more
inuyasha2012/pypsy
psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .
mkearney/tidyversity
🎓 Tidy tools for academics
OpenMx/OpenMx
Repository for the OpenMx Structural Equation Modeling package
ecmerkle/blavaan
An R package for Bayesian structural equation modeling
realrate/Causing
Causing: CAUsal INterpretation using Graphs
tbates/umx
Making Structural Equation Modeling (SEM) in R quick & powerful
m-clark/sem
:white_medium_small_square: <- :white_circle: Structural Equation Modeling from a broader context.
mikewlcheung/metasem
metaSEM package
wjschne/ggdiagram
Object-oriented diagram plots with ggplot2
richardkwo/InvariantCausal.jl
Causal Inference with Invariant Prediction
rempsyc/lavaanExtra
Convenience Functions for Package `lavaan`
Lyxn/plspm
Partial Least Squares Path Modeling, Structural Equation Modeling
mkearney/tidysem
🎓 Tidy SEM tools for academics
andrea-luciani/bimets
Time Series And Econometric Modeling In R
brandmaier/semtree
Recursive Partitioning for Structural Equation Models
brandmaier/onyx
Ωnyx - Structural Equation Modeling
m-clark/docs
Documents that go into methodological detail regarding various statistical procedures.
ellenmartin11/lone-GenSEM-MR
Genomic Structural Equation Modelling and Mendelian Randomization of Loneliness and Psychiatric/Substance Use Phenotypes
jhorzek/lessSEM
lessSEM estimates sparse structural equation models.
peterdalle/semproducible
Generates R code for your lavaan models automatically, which helps with reproducible open science
isaactpetersen/Principles-Psychological-Assessment
Repository for the Textbook: "Principles of Psychological Assessment: With Applied Examples in R"
Kss2k/modsem
modsem is an R-package for estimating interaction (i.e., moderation) effects between latent variables in structural equation models (SEMs), based on the lavaan syntax
sfcheung/semptools
Helper functions for customizing plots by semPlot::semPaths
tzimiskes/causality
Examine The Causal Structure of Data
aaronpeikert/StenoGraphs.jl
Write meta graphs quickly
alexanderrobitzsch/LAM
Some Latent Variable Models
tr7200/CBNN_SEM_loss_convergence
Code accompanying my 2021 ASA SDSS paper
haziqj/INLAvaan
An R package for Bayesian structural equation modeling using INLA
jamesuanhoro/minorbsem
An R package for Bayesian structural equation models that account for the influence of minor factors
mikewlcheung/symsem
Symbolic Computation for Structural Equation Models
milanwiedemann/minvariance
R functions to generate lavaan code for testing longitudinal measurement invariance
chkiefer/lavacreg
lavacreg (Latent Variable Count Regression Models)) is an R package to estimate multigroup structural equation models with count regressions (Poisson or negative binomial).
immerse-ucsb/3-Step-ML-auto
This R tutorial automates the 3-step ML auxiliary variable procedure using the MplusAutomation package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters. To learn more about auxiliary variable integration methods and why multi-step methods are necessary for producing un-biased estimates see Asparouhov & Muthén (2014).
jhorzek/mxsem
A lavaan-like syntax for structural equation models with OpenMx
milanwiedemann/shinychange
shinychange: An Interactive Tutorial on Latent Change Score Modeling in R