Package: presize 0.3.7

Alan G. Haynes

presize: Precision Based Sample Size Calculation

Bland (2009) <doi:10.1136/bmj.b3985> recommended to base study sizes on the width of the confidence interval rather the power of a statistical test. The goal of 'presize' is to provide functions for such precision based sample size calculations. For a given sample size, the functions will return the precision (width of the confidence interval), and vice versa.

Authors:Armando Lenz [aut], Alan G. Haynes [cre, aut], Andreas Limacher [aut], Odile Stalder [ctb], Marie Roumet [ctb]

presize_0.3.7.tar.gz
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presize_0.3.7.tgz(r-4.5-any)presize_0.3.7.tgz(r-4.4-any)presize_0.3.7.tgz(r-4.3-any)
presize_0.3.7.tar.gz(r-4.5-noble)presize_0.3.7.tar.gz(r-4.4-noble)
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presize.pdf |presize.html✨
presize/json (API)
NEWS

# Install 'presize' in R:
install.packages('presize', repos = c('https://ctu-bern.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ctu-bern/presize/issues

Pkgdown site:https://ctu-bern.github.io

On CRAN:

confidence-intervalsprecisionsample-size-calculationshiny-app

7.19 score 16 stars 1 packages 36 scripts 370 downloads 20 exports 31 dependencies

Last updated 4 months agofrom:5ac6a6aa70. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winOKJan 28 2025
R-4.5-macOKJan 28 2025
R-4.5-linuxOKJan 28 2025
R-4.4-winOKJan 28 2025
R-4.4-macOKJan 28 2025
R-4.3-winOKJan 28 2025
R-4.3-macOKJan 28 2025

Exports:launch_presize_appprec_aucprec_corprec_cronbprec_iccprec_kappaprec_lim_agreeprec_lrprec_meanprec_meandiffprec_neg_lrprec_orprec_pos_lrprec_propprec_rateprec_rateratioprec_riskdiffprec_riskratioprec_sensprec_spec

Dependencies:base64encbslibcachemclicommonmarkcrayondigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitekappaSizelaterlifecyclemagrittrmemoisemimepromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable

presize

Rendered frompresize.Rmdusingknitr::rmarkdownon Jan 28 2025.

Last update: 2022-08-15
Started: 2022-03-02