Skip to content

nlpsem

0.4

Nonlinear Longitudinal Process in Structural Equation Modeling

0packages depend
3.6Kdownloads / year
4.2%test coverage
13/13checks pass

Overview

About
Maintained by Jin LiuFirst published 2023-05-296 releasesCRAN page ↗GitHub ↗

Provides computational tools for nonlinear longitudinal models, in particular the intrinsically nonlinear models, in four scenarios: (1) univariate longitudinal processes with growth factors, with or without covariates including time-invariant covariates (TICs) and time-varying covariates (TVCs); (2) multivariate longitudinal processes that facilitate the assessment of correlation or causation between multiple longitudinal variables; (3) multiple-group models for scenarios (1) and (2) to evaluate differences among manifested groups, and (4) longitudinal mixture models for scenarios (1) and (2), with an assumption that trajectories are from multiple latent classes. The methods implemented are introduced in Liu (2025) doi:10.3758/s13428-025-02596-4.

Install

Health

CRAN checks
13OK
Slowest check: 10.2 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.03
4.2%
Coverage · measured lines
100%
Documentation · exports
12
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-10
    9 OK · 4 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
88%
Documented parameters
100%
Return-value docs
100%
References docs
37%

Downloads

3.6K
CRAN downloads in the past year
Rank #7,417 · ~10/day · ~301/mo
Daily download trend is not available in this view yet.
22030 days
1.2K90 days
3.6K1 year
Compare downloads with other packages →
Also on233 r2u19 autocran

Repository

Repository
145Stars
40Forks
0Open issues
0Open PRs
0Releases
25Commits
1Contributors
25 commits · Last activity 2026-06-04 · 0% stars, 30d

Stars over time

2025-02-04 · 1442026-07-07 · 145

Repository practices

Upstream repositoryBeta

Checks run against github.com/veronica0206/nlpsem on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (2)
R >= 4.0.0OpenMx
Imports (11)
ggplot2dplyrtidyrstringrMatrixnnetreadrmethodsgrDevicesstatsutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4Latest
    2026-03-31 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.3
    2023-09-13 · diff ↗
  • 0.2.1
    2023-08-23 · diff ↗
  • 0.2.0
    2023-08-15 · diff ↗
  • 0.1.1
    2023-06-04 · diff ↗
  • 0.1.0
    2023-05-29
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-05-29
Total releases
6 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0.0
Bundled data
72 KB / 1 file
Download size
4.6 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nlpsem")
Liu, J. (2026). nlpsem: Nonlinear Longitudinal Process in Structural Equation Modeling (Version 0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.nlpsem

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 nlpsem version 0.4 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy