Package: mglpa 0.0.0.9000

mglpa: Multi-Group Latent Profile Analysis and Tests of Profile Similarity

Estimates latent profile analysis (LPA) models with continuous indicators across known groups and implements the sequence of multi-group tests of profile similarity proposed by Morin, Meyer, Creusier and Bietry (2016) <doi:10.1177/1094428115621148>: class enumeration, configural, structural, dispersion, distributional, predictive and explanatory similarity. Estimation is carried out in R with an expectation-maximisation algorithm using random starts, with maximum-likelihood and robust (sandwich) standard errors, so that no external mixture-modelling software is required.

Authors:Mehmet Cahit Marangoz [aut, cre]

mglpa_0.0.0.9000.tar.gz
mglpa_0.0.0.9000.zip(r-4.7-x86_64)mglpa_0.0.0.9000.zip(r-4.7-arm64)mglpa_0.0.0.9000.zip(r-4.6-x86_64)mglpa_0.0.0.9000.zip(r-4.6-arm64)mglpa_0.0.0.9000.zip(r-4.5-x86_64)
mglpa_0.0.0.9000.tgz(r-4.6-x86_64)mglpa_0.0.0.9000.tgz(r-4.6-arm64)mglpa_0.0.0.9000.tgz(r-4.5-x86_64)mglpa_0.0.0.9000.tgz(r-4.5-arm64)
mglpa_0.0.0.9000.tar.gz(r-4.7-arm64)mglpa_0.0.0.9000.tar.gz(r-4.7-x86_64)mglpa_0.0.0.9000.tar.gz(r-4.6-arm64)mglpa_0.0.0.9000.tar.gz(r-4.6-x86_64)
mglpa_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mglpa/json (API)

# Install 'mglpa' in R:

install.packages('mglpa', repos = c('https://cahitgs.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cahitgs/mglpa/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

mglpa_wm - Simulated working-memory data set

On CRAN:

cpp

2.70 score 30 exports 18 dependencies

Last updated from:ea0c3c4f8d. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	133
linux-devel-x86_64	OK	165
source / vignettes	OK	217
linux-release-arm64	OK	146
linux-release-x86_64	OK	163
macos-release-arm64	OK	147
macos-release-x86_64	OK	331
macos-oldrel-arm64	OK	107
macos-oldrel-x86_64	OK	259
windows-devel-arm64	OK	212
windows-devel-x86_64	OK	181
windows-release-arm64	OK	190
windows-release-x86_64	OK	231
windows-oldrel-x86_64	OK	186
wasm-release	OK	102

Exports:apa_table blrt classification_quality compare_fit contrast_estimates elbow_plot enumerate_profiles enumeration_blrt enumeration_table enumeration_vlmr explanatory_similarity fit_lpa fixed_from_fit mglpa_app mglpa_model mglpa_palettes outcome_contrasts parameters posterior_probabilities predictive_similarity predictor_effects profile_means profile_plot profile_proportions reorder_profiles similarity_table similarity_tests simulate_lpa vlmr_test write_table_doc

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer Rcpp rlang S7 scales vctrs viridisLite withr

Multi-group tests of profile similarity with mglpa

Rendered frommglpa.Rmdusingknitr::rmarkdown

Last update: 2026-11-11
Started: 2026-11-11

Help page	Topics
APA-style tables of the results	apa_table apa_table.mglpa_classification apa_table.mglpa_enumeration apa_table.mglpa_explanatory apa_table.mglpa_predictive apa_table.mglpa_similarity apa_tables
Bootstrap likelihood ratio test for k versus k - 1 profiles	blrt
Classification quality of a profile solution	classification_quality
Compare two nested models with the two-out-of-three rule	compare_fit
Linear combinations of parameters with delta-method standard errors	contrast_estimates
Elbow plot of the information criteria of a class enumeration	elbow_plot
Class enumeration: profile solutions with 1 to K profiles in each group	enumerate_profiles
Add bootstrap likelihood ratio tests to a class enumeration	enumeration_blrt
Fit-index table of a class enumeration	enumeration_table
Add Vuong-Lo-Mendell-Rubin tests to a class enumeration	enumeration_vlmr
Explanatory similarity: profile-specific levels of distal outcomes across groups	explanatory_similarity
Fit a latent profile model by maximum likelihood	fit_lpa
Extract parameter values from a fit to fix them in a later model	fixed_from_fit
Launch the MG-LPA Shiny application	mglpa_app
Specify a (multi-group) latent profile model	mglpa_model
Colour palettes for profile plots	mglpa_palettes
Simulated working-memory data set (two age groups)	mglpa_wm
Pairwise differences in outcome means between profiles and between groups	outcome_contrasts
Parameter estimates of a fitted profile model	parameters
Posterior profile probabilities and most likely profile	posterior_probabilities
Predictive similarity: predictors of profile membership across groups	predictive_similarity
Multinomial regression effects of the predictors for all profile comparisons	predictor_effects
Profile means in raw and standardized metric	profile_means
Profile plot	profile_plot
Profile proportions by group	profile_proportions
Reorder (relabel) the profiles of a fitted model	reorder_profiles
Fit-index table of the similarity tests	similarity_table
Multi-group tests of profile similarity	similarity_tests
Simulate data from a fitted single-group profile model	simulate_lpa
Vuong-Lo-Mendell-Rubin likelihood ratio tests for the number of profiles	vlmr_test
Write a table as a Word-compatible document	write_table_doc

Package: mglpa 0.0.0.9000

mglpa: Multi-Group Latent Profile Analysis and Tests of Profile Similarity

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)