Type: Package
Package: powerNLSEM
Title: Simulation-Based Power Estimation (MSPE) for Nonlinear SEM
Version: 0.1.2
Authors@R: 
    person(given = "Julien Patrick", family = "Irmer",
           email = "jpirmer@gmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-7544-6483"))
Author: Julien Patrick Irmer [aut, cre, cph]
    (<https://orcid.org/0000-0002-7544-6483>)
Maintainer: Julien Patrick Irmer <jpirmer@gmail.com>
Description: 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>.
License: GPL-3
URL: https://github.com/jpirmer/powerNLSEM
BugReports: https://github.com/jpirmer/powerNLSEM/issues
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
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2024-09-27 07:05:15 UTC; irmer
Repository: CRAN
Date/Publication: 2024-09-27 11:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 09:32:32 UTC; unix
