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tidyLPA

Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software

An interface to the 'mclust' package to easily carry out latent profile analysis ("LPA"). Provides functionality to estimate commonly-specified models. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Also has functions to interface to the commercial 'MPlus' software via the 'MplusAutomation' package.

Functions (23)

AHP

Select best model using analytic hyrarchy process

as.tidyLPA

Convert Mplus output to object of class 'tidyLPA'

calc_lrt

Lo-Mendell-Rubin likelihood ratio test

compare_solutions

Compare latent profile models

curry_mac

Simulated MAC data

empathy

Simulated empathy data

estimate_profiles

Estimate latent profiles

estimate_profiles_mclust

Estimate latent profiles using mclust

estimate_profiles_mplus2

Estimate latent profiles using Mplus

get_data

Get data from objects generated by tidyLPA

get_estimates

Get estimates from objects generated by tidyLPA

get_fit

Get fit indices from objects generated by tidyLPA

id_edu

Simulated identity data

pipe

Pipe

pisaUSA15

student questionnaire data with four variables from the 2015 PISA for students in the United States

plot_bivariate

Create correlation plots for a mixture model

plot_density

Create density plots for mixture models

plot_profiles

Create latent profile plots

poms

Apply POMS-coding to data

print.tidyLPA

Print tidyLPA

print.tidyProfile

Print tidyProfile

single_imputation

Apply single imputation to data

tidyLPA

tidyLPA: Functionality to carry out Latent Profile Analysis in R

tidyLPA

Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software

v1.0.8

MIT + file LICENSE

Authors

Joshua M Rosenberg [aut, cre], Caspar van Lissa [aut], Jennifer A Schmidt [ctb], Patrick N Beymer [ctb], Daniel Anderson [ctb], Matthew J. Schell [ctb]

Initial release

tidyLPA

Functions (23)

tidyLPA

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