Package: mlpwr
Title: A Power Analysis Toolbox to Find Cost-Efficient Study Designs
Version: 1.1.1
Authors@R: c(
    person("Felix", "Zimmer", , "felix.zimmer@mail.de", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8127-0007")),
    person("Rudolf", "Debelak", , "rudolf.debelak@psychologie.uzh.ch", role = c("aut"),
           comment = c(ORCID = "0000-0001-8900-2106")),
    person("Marc", "Egli", , "eglimar@ethz.ch", role = c("ctb"))
  )
Description: We implement a surrogate modeling algorithm to guide simulation-based
    sample size planning. The method is described in detail in our paper (Zimmer &
    Debelak (2023) <doi:10.1037/met0000611>). It supports multiple study design
    parameters and optimization with respect to a cost function. It can find
    optimal designs that correspond to a desired statistical power or that fulfill
    a cost constraint. We also provide a tutorial paper (Zimmer et al. (2023)
    <doi:10.3758/s13428-023-02269-0>).
License: GPL (>= 3)
LazyData: true
URL: https://github.com/flxzimmer/mlpwr
BugReports: https://github.com/flxzimmer/mlpwr/issues
Imports: utils, stats, DiceKriging, digest, ggplot2, randtoolbox,
        rlist, rgenoud
Suggests: knitr, lme4, lmerTest, mirt, pwr, rmarkdown, simr, sn, tidyr,
        WeightSVM
Encoding: UTF-8
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-10-03 16:19:14 UTC; felix
Author: Felix Zimmer [aut, cre] (<https://orcid.org/0000-0002-8127-0007>),
  Rudolf Debelak [aut] (<https://orcid.org/0000-0001-8900-2106>),
  Marc Egli [ctb]
Maintainer: Felix Zimmer <felix.zimmer@mail.de>
Repository: CRAN
Date/Publication: 2024-10-03 23:00:30 UTC
Built: R 4.6.0; ; 2025-08-18 11:21:00 UTC; unix
