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]

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presize.pdf |presize.html✨
presize/json (API)
NEWS

Peer review:

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

On CRAN:

confidence-intervalsprecisionsample-size-calculationshiny-app

20 exports 15 stars 2.32 score 31 dependencies 1 dependents 32 scripts 399 downloads

Last updated 1 months agofrom:73db03a395. Checks:OK: 7. Indexed: yes.

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