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: R (>= 4.1.0), 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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Config/pak/sysreqs: libicu-dev
Repository: https://jpirmer.r-universe.dev
Date/Publication: 2024-09-27 07:04:28 UTC
RemoteUrl: https://github.com/jpirmer/powernlsem
RemoteRef: HEAD
RemoteSha: d2cef36c77804deba9c1b1a4289e41d97d7aed73
NeedsCompilation: no
Packaged: 2026-10-14 07:29:23 UTC; root