Package: MKpower 1.1
MKpower: Power Analysis and Sample Size Calculation
Power analysis and sample size calculation for Welch and Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) t-tests including Monte-Carlo simulations of empirical power and type-I-error. Power and sample size calculation for Wilcoxon rank sum and signed rank tests via Monte-Carlo simulations. Power and sample size required for the evaluation of a diagnostic test(-system) (Flahault et al. (2005), <doi:10.1016/j.jclinepi.2004.12.009>; Dobbin and Simon (2007), <doi:10.1093/biostatistics/kxj036>) as well as for a single proportion (Fleiss et al. (2003), ISBN:978-0-471-52629-2; Piegorsch (2004), <doi:10.1016/j.csda.2003.10.002>; Thulin (2014), <doi:10.1214/14-ejs909>), comparing two negative binomial rates (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>), ANCOVA (Shieh (2020), <doi:10.1007/s11336-019-09692-3>), reference ranges (Jennen-Steinmetz and Wellek (2005), <doi:10.1002/sim.2177>), multiple primary endpoints (Sozu et al. (2015), ISBN:978-3-319-22005-5), and AUC (Hanley and McNeil (1982), <doi:10.1148/radiology.143.1.7063747>).
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MKpower_1.1.tar.gz
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MKpower.pdf |MKpower.html✨
MKpower/json (API)
NEWS
# Install 'MKpower' in R: |
install.packages('MKpower', repos = c('https://stamats.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stamats/mkpower/issues
Last updated 2 months agofrom:8a0689abee. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 23 2024 |
R-4.5-win | OK | Oct 23 2024 |
R-4.5-linux | OK | Oct 23 2024 |
R-4.4-win | OK | Oct 23 2024 |
R-4.4-mac | OK | Oct 23 2024 |
R-4.3-win | OK | Oct 23 2024 |
R-4.3-mac | OK | Oct 23 2024 |
Exports:power.ancovapower.diagnostic.testpower.hsu.t.testpower.mpe.atleast.onepower.mpe.known.varpower.mpe.unknown.varpower.nb.testpower.prop1.testpower.welch.t.testqqunifsim.power.t.testsim.power.wilcox.testsim.ssize.wilcox.testssize.auc.cissize.pccssize.prop.cissize.propCIssize.reference.rangessize.sens.cissize.spec.civolcano
Dependencies:arrangementsbackportsbitbit64bitopsbootbroomcaToolsclicliprcodetoolscoincolorspacecpp11crayonDBIDEoptimRdoParalleldplyrexactRankTestsfansifarverforcatsforeachgenericsggplot2glmnetgluegmpgtablehavenhmsisobanditeratorsjomolabelinglatticelibcoinlifecyclelme4magrittrMASSMatrixmatrixStatsmatrixTestsmgcvmicemiceaddsminqamitmlmitoolsMKdescrMKinfermodeltoolsmultcompmunsellmvtnormnlmenloptrnnetnumDerivopdisDownsamplingordinalpanpbmcapplypillarpkgconfigpracmaprettyunitsprogresspurrrqqconfqqplotrR6RColorBrewerRcppRcppArmadilloRcppEigenreadrrlangrobustbaserpartsandwichscalesshapestringistringrsurvivalTH.datatibbletidyrtidyselecttwosamplestzdbucminfutf8vctrsviridisLitevroomwithrzoo