R Observatory: Metrics for powerNLSEM version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

powerNLSEM

0.1.2Package record

Simulation-Based Power Estimation (MSPE) for Nonlinear SEM

0packages depend

2.3Kdownloads / year

–test coverage

0/13flavors OK

Overview

About

Maintained by Julien Patrick IrmerCRAN page ↗GitHub ↗Issues ↗

Model-implied simulation-based power estimation (MSPE) for nonlinear (and linear) SEM, path analysis and regression analysis. A theoretical framework is used to approximate the relation between power and sample size for given type I error rates and effect sizes. The package offers an adaptive search algorithm to find the optimal N for given effect sizes and type I error rates. Plots can be used to visualize the power relation to N for different parameters of interest (POI). Theoretical justifications are given in Irmer et al. (2024a) doi:10.31219/osf.io/pe5bj and detailed description are given in Irmer et al. (2024b) doi:10.3758/s13428-024-02476-3.

Changes in 0.1.2

Fix minor bugs
Add DOI for articles this package is based on (Irmer et al., 2024a, 2024b) in DESCRIPTION, function documentation and Vignettes

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("powerNLSEM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("jpirmer/powerNLSEM")

Development version from jpirmer/powerNLSEM. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-powernlsem

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-powerNLSEM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-powerNLSEM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13NOTE

Check messages

NOTEDESCRIPTION meta-informationr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64

Missing dependency on R >= 4.1.0 because package code uses the pipe
  |> or function shorthand \(...) syntax added in R 4.1.0.
  File(s) using such syntax:
    ‘FSR.R’ ‘SR.R’ ‘helper_functions_model.R’ ‘plot.powerNLSEM.R’
    ‘smart_search.R’

r-devel-windows-x86_64, r-oldrel-windows-x86_64, r-release-windows-x86_64

Missing dependency on R >= 4.1.0 because package code uses the pipe
  |> or function shorthand \(...) syntax added in R 4.1.0.
  File(s) using such syntax:
    'FSR.R' 'SR.R' 'helper_functions_model.R' 'plot.powerNLSEM.R'
    'smart_search.R'

CRAN check page ↗

Slowest check: 4.5 min · r-oldrel-windows-x86_64

Status changes

NOTE13 NOTENow
NOTE3 OK, 11 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMEYes · 99 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.2Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 12
Examples that run: 0%3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 13%
Documented parameters: 97%
Return-value docs: 100%
Help pages citing references: 42%

Vignettes (1)

powerNLSEM HTML

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #18,828 · ~6/day · ~188/mo

Releases R versions

Daily download trend is not available in this view yet.

23230 days

70090 days

2.3K1 year

Compare downloads with other packages →

Also on74 r2u3 autocran

How downloads are counted

Repository

jpirmer/powernlsem ↗Account: jpirmer

0Stars

1Forks

0Open issues

0Open PRs

0Releases

222Commits

1Commit identities

222 commits · Last activity 2024-09-27

Responsiveness

How these are sampled

PRs merged (all time): 0%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 157

Forks over time

2025-02-05 · 12026-07-07 · 1

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/jpirmer/powernlsem on 2026-10-21.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2026-04-06
Pull request: opened by its own account

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing powerNLSEM adds 28 packages (13 with compiled code, 28 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, lavaan 1.6 MB.

Depends (3)

ggplot2statsutils

Imports (7)

crayon lavaan mvtnorm numDeriv pbapply rlang stringr

LinkingTo (0)

none

Suggests (5)

knitr MplusAutomation rmarkdown semTools simsem

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Julien Patrick Irmer

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.2Latest
record
2024-09-27 · current release · diff ↗
0.1.1
record
2024-07-31
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-07-31
Total releases: 2 / 2 yrs
License: GPL-3 OSI
Download size: 462 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("powerNLSEM")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.3758/s13428-024-02476-3, 10.31219/osf.io/pe5bj.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for powerNLSEM version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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