Package: mlpwr
Title: A Power Analysis Toolbox to Find Cost-Efficient Study Designs
Version: 1.1.0
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"))
  )
Description: We implement a surrogate modeling algorithm to guide simulation-based
    sample size planning. The method is described in detail in a recent preprint
    (Zimmer & Debelak (2022) <doi:10.31234/osf.io/tnhb2>).
    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.
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, WeightSVM, rgenoud
Suggests: knitr, lme4, lmerTest, mirt, pwr, rmarkdown, simr, sn, tidyr
Encoding: UTF-8
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-08-07 10:29:51 UTC; felix
Author: Felix Zimmer [aut, cre] (<https://orcid.org/0000-0002-8127-0007>),
  Rudolf Debelak [aut] (<https://orcid.org/0000-0001-8900-2106>)
Maintainer: Felix Zimmer <felix.zimmer@mail.de>
Repository: CRAN
Date/Publication: 2023-08-07 10:50:02 UTC
