Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
Overview
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.
- Important bug fixes
From NEWS.md in the release
Install
Health
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage: ‘pipe.Rd’ \arguments should not be documented without \usage.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 1 NOTE2026-07-11
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
- NOTE13 OK, 1 NOTE2026-03-10
Documentation
- Help pages
- 22 (2 internal)includes a package overview page
- Examples that run
- 46%6 run in a plain check · 7 never run
- Exported functions with examples
- 91%
- Documented parameters
- 90%
- Return-value docs
- 90%
- Help pages citing references
- 18%
Downloads
Repository
- PRs merged (all time)
- 94%
- Median days to close, 50 most recently updated closed issues
- 34
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
10 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/data-edu/tidylpa on 2026-10-22.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Show all practicesHide 2 practices
Dependencies
Installing tidyLPA adds 103 packages (52 with compiled code, 99 MB of source tarballs). Heaviest: stringi 11 MB, tidySEM 9.5 MB, MplusAutomation 7.5 MB.
Code & Tests
Datasets
People & History
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Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 2.0.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.1.02021-11-17 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.0.82020-08-17 · diff ↗
- 1.0.72020-05-13 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0.62020-03-19 · diff ↗
- 1.0.52020-02-09 · diff ↗ ·
removed 4 exports
bootstrap_lrt, compare_solutions_mplus, estimate_profiles_mplus, plot_profiles_mplusadded 2 exports
calc_lrt, plot_bivariate - 1.0.42019-08-19 · diff ↗
- 1.0.32019-07-30 · diff ↗
- RR 3.6.0 released · 2019-04-26
Show 12 earlier eventsHide 12 earlier events
- 1.0.22019-04-04 · diff ↗
- 1.0.02019-03-21 · diff ↗ ·
removed 2 exports
extract_LL_mplus, mplusAvailableadded 8 exports
%>%, AHP, get_data, get_estimates, get_fit, plot_density, poms, single_imputation - 0.2.42019-01-02 · diff ↗
- 0.2.32018-11-20 · diff ↗
- 0.2.22018-10-11 · diff ↗
- 0.2.1
- 0.2.0
- RR 3.5.0 released · 2018-04-23
- 0.1.3
- 0.1.2
- 0.1.12018-02-14
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-02-14
- Total releases
- 18 / 8 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 389 KB / 4 files
- Download size
- 729 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("tidyLPA")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.21105/joss.00978.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.