Package: tidyLPA 2.0.1

Joshua M Rosenberg

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

Easily carry out latent profile analysis ("LPA"), determine the correct number of classes based on best practices, and tabulate and plot the results. Provides functionality to estimate commonly-specified models with free means, variances, and covariances for each profile. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Models can be estimated using the free open source 'R' packages 'Mclust' and 'OpenMx', or using the commercial program 'MPlus', via the 'MplusAutomation' package.

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]

tidyLPA_2.0.1.tar.gz
tidyLPA_2.0.1.zip(r-4.7-any)tidyLPA_2.0.1.zip(r-4.6-any)tidyLPA_2.0.1.zip(r-4.5-any)
tidyLPA_2.0.1.tgz(r-4.6-any)tidyLPA_2.0.1.tgz(r-4.5-any)
tidyLPA_2.0.1.tar.gz(r-4.7-any)tidyLPA_2.0.1.tar.gz(r-4.6-any)
tidyLPA_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tidyLPA/json (API)

# Install 'tidyLPA' in R:
install.packages('tidyLPA', repos = c('https://cjvanlissa.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/data-edu/tidylpa/issues

Pkgdown/docs site:https://data-edu.github.io

Datasets:
  • curry_mac - Simulated MAC data
  • empathy - Simulated empathy data
  • id_edu - Simulated identity data
  • pisaUSA15 - Student questionnaire data with four variables from the 2015 PISA for students in the United States

On CRAN:

Conda:

6.05 score 1 stars 1 packages 233 scripts 4.0k downloads 19 mentions 13 exports 112 dependencies

Last updated from:64906abfd7. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develWARNING259
source / vignettesERROR323
linux-releaseWARNING258
macos-releaseWARNING140
macos-oldrelWARNING154
windows-develWARNING163
windows-releaseWARNING149
windows-oldrelWARNING156
wasm-releaseOK169

Exports:%>%AHPcalc_lrtcompare_solutionsestimate_profilesget_dataget_estimatesget_fitplot_bivariateplot_densityplot_profilespomssingle_imputation

Dependencies:abindaskpassbackportsbootbroomcarcarDatacheckmateclicodacodetoolscolorspaceCompQuadFormcowplotcpp11crayoncurldata.tabledbscanDerivdigestdoBydplyrfarverfastDummiesforecastFormulafracdifffuturefuture.applygenericsggplot2globalsglueGPArotationgsubfngtablehmshttrisobandjsonlitelabelinglatticelavaanlifecyclelistenvlme4lmtestmagrittrMASSMatrixMatrixModelsmclustmgcvmimeminqamnormtmodelrMplusAutomationmvtnormnlmenloptrnnetnonnest2numDerivopensslpanderparallellypbivnormpbkrtestpillarpkgconfigplyrprettyunitsprogressprogressrprotopsychpurrrquadprogquantregR6RANNrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivalsystexregtibbletidyrtidyselecttidySEMtimeDateurcautf8vctrsviridisLitewithrxtablezoo