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tidyLPA

2.0.2Package record

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

1packages dependsuggested by 2
67.1Kdownloads / year
30.2%test coverage
11/13flavors OK

Overview

About

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.

Changes in 2.0.2
  • Important bug fixes

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
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.

CRAN check page ↗

Slowest check: 6.3 min · r-oldrel-macos-x86_64
Status changes
  • 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
Advisories

none known

Documentation

In release 2.0.2
READMEYes · 632 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 2.0.2Citation fileYes · cites a publicationWebsiteYes · pkgdown
Cites a JOSS paper
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

67.1K
CRAN downloads in the past year
Rank #1,680 · ~184/day · ~5.6K/mo
Daily download trend is not available in this view yet.
4.3K30 days
13K90 days
67.1K1 year
Compare downloads with other packages →
Also on168 r2u5 autocran95 c2d4u

Repository

61Stars
18Forks
38Open issues
1Open PRs
6Releases
871Commits
15Commit identities
871 commits · Last activity 2026-02-25 · 0% stars, 30d
Responsiveness
How these are sampled
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

2025-07-06 · 572026-07-28 · 61
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)
Code of conductSupport guide
Docs source (2)
README.Rmd

GitHub Pages site last deployed 2026-02-25

Coverage (1)
Coverage reporting
Show all practicesHide 2 practices
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

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.

Depends (2)
R >= 2.10tidySEM
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (6)
Author, Maintainer since 0.1.1 (2018)
Author · added in 0.1.3
Contributor · added in 0.1.3
Contributor
Listed in earlier versions (9)
Show 8 of 9 peopleHide 8 people
Jennifer A
no longer listed · 0.1.1 to 0.2.4
Joshua M
no longer listed · 0.1.1 to 0.2.4
Patrick N
no longer listed · 0.1.1 to 0.2.4
Rebecca R
no longer listed · 0.1.1 to 0.1.3
Matthew J.
no longer listed · 0.2.3 to 0.2.4
Beymer
no longer listed · 1.0.0 to 2.0.2
Rosenberg
no longer listed · 1.0.0 to 2.0.2
Schell
no longer listed · 1.0.0 to 2.0.2
Releases (18)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.0.2Latest
    record
    2026-02-25 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.0
    record
    2021-11-17 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.8
    record
    2020-08-17 · diff ↗
  • 1.0.7
    record
    2020-05-13 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.6
    record
    2020-03-19 · diff ↗
  • 1.0.5
    record
    2020-02-09 · diff ↗ ·
    removed 4 exports
    bootstrap_lrt, compare_solutions_mplus, estimate_profiles_mplus, plot_profiles_mplus
    added 2 exports
    calc_lrt, plot_bivariate
  • 1.0.4
    record
    2019-08-19 · diff ↗
  • 1.0.3
    record
    2019-07-30 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
Show 12 earlier eventsHide 12 earlier events
  • 1.0.2
    record
    2019-04-04 · diff ↗
  • 1.0.0
    record
    2019-03-21 · diff ↗ ·
    removed 2 exports
    extract_LL_mplus, mplusAvailable
    added 8 exports
    %>%, AHP, get_data, get_estimates, get_fit, plot_density, poms, single_imputation
  • 0.2.4
    record
    2019-01-02 · diff ↗
  • 0.2.3
    record
    2018-11-20 · diff ↗
  • 0.2.2
    record
    2018-10-11 · diff ↗
  • 0.2.1
    record
    2018-10-11 · diff ↗ ·
    added 1 export
    mplusAvailable
  • 0.2.0
    record
    2018-09-14 · diff ↗ ·
    removed 2 exports
    %>%, extract_mplus_summary
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.3
    record
    2018-03-28 · diff ↗ ·
    added 1 export
    extract_LL_mplus
  • 0.1.2
    record
    2018-02-18 · diff ↗ ·
    added 1 export
    %>%
  • 0.1.1
    record
    2018-02-14
  • R
    R 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
Appears in task views

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tidyLPA version 2.0.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

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.

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