Package: powerly
Title: Sample Size Analysis for Psychological Networks and More
Version: 1.8.6
Authors@R: 
    person(given = "Mihai",
           family = "Constantin",
           role = c("aut", "cre"),
           email = "mihai@mihaiconstantin.com",
           comment = c(ORCID = "0000-0002-6460-0107"))
Description: An implementation of the sample size computation method for network
    models proposed by Constantin et al. (2021) <doi:10.31234/osf.io/j5v7u>.
    The implementation takes the form of a three-step recursive algorithm
    designed to find an optimal sample size given a model specification and a
    performance measure of interest. It starts with a Monte Carlo simulation
    step for computing the performance measure and a statistic at various sample
    sizes selected from an initial sample size range. It continues with a
    monotone curve-fitting step for interpolating the statistic across the entire
    sample size range. The final step employs stratified bootstrapping to quantify
    the uncertainty around the fitted curve.
License: MIT + file LICENSE
URL: https://powerly.dev
BugReports: https://github.com/mihaiconstantin/powerly/issues
Imports: R6, progress, parallel, splines2, quadprog, osqp, bootnet,
        qgraph, ggplot2, rlang, mvtnorm, patchwork
Encoding: UTF-8
RoxygenNote: 7.2.1
Collate: 'Backend.R' 'Basis.R' 'Model.R' 'GgmModel.R' 'Interpolation.R'
        'Spline.R' 'StepThree.R' 'StepTwo.R' 'Statistic.R'
        'PowerStatistic.R' 'StatisticFactory.R' 'ModelFactory.R'
        'StepOne.R' 'Range.R' 'Method.R' 'OsqpSolver.R'
        'QuadprogSolver.R' 'Solver.R' 'SolverFactory.R' 'Validation.R'
        'constants.R' 'exports.R' 'helpers.R' 'logo.R'
        'powerly-package.R'
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2022-09-09 13:41:09 UTC; mihai
Author: Mihai Constantin [aut, cre] (<https://orcid.org/0000-0002-6460-0107>)
Maintainer: Mihai Constantin <mihai@mihaiconstantin.com>
Repository: CRAN
Date/Publication: 2022-09-09 14:10:01 UTC
Built: R 4.6.0; ; 2025-08-31 04:07:03 UTC; windows
