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>.
| Version: | 0.1.2 |
| Depends: | ggplot2, stats, utils |
| Imports: | crayon, lavaan (≥ 0.6.16), mvtnorm, numDeriv, pbapply, rlang (≥ 1.1.0), stringr |
| Suggests: | knitr, MplusAutomation (≥ 0.7-2), rmarkdown, semTools, simsem |
| Published: | 2024-09-27 |
| DOI: | 10.32614/CRAN.package.powerNLSEM |
| Author: | Julien Patrick Irmer
|
| Maintainer: | Julien Patrick Irmer <jpirmer at gmail.com> |
| BugReports: | https://github.com/jpirmer/powerNLSEM/issues |
| License: | GPL-3 |
| URL: | https://github.com/jpirmer/powerNLSEM |
| NeedsCompilation: | no |
| Citation: | powerNLSEM citation info |
| Materials: | README, NEWS |
| CRAN checks: | powerNLSEM results |
| Reference manual: | powerNLSEM.html , powerNLSEM.pdf |
| Vignettes: |
powerNLSEM (source, R code) |
| Package source: | powerNLSEM_0.1.2.tar.gz |
| Windows binaries: | r-devel: powerNLSEM_0.1.2.zip, r-release: powerNLSEM_0.1.2.zip, r-oldrel: powerNLSEM_0.1.2.zip |
| macOS binaries: | r-release (arm64): powerNLSEM_0.1.2.tgz, r-oldrel (arm64): powerNLSEM_0.1.2.tgz, r-release (x86_64): powerNLSEM_0.1.2.tgz, r-oldrel (x86_64): powerNLSEM_0.1.2.tgz |
| Old sources: | powerNLSEM archive |
Please use the canonical form https://CRAN.R-project.org/package=powerNLSEM to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.