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:
presize_0.3.7.tar.gz
presize_0.3.7.zip(r-4.5)presize_0.3.7.zip(r-4.4)presize_0.3.7.zip(r-4.3)
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)
presize_0.3.7.tgz(r-4.4-emscripten)presize_0.3.7.tgz(r-4.3-emscripten)
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
confidence-intervalsprecisionsample-size-calculationshiny-app
Last updated 24 days agofrom:5ac6a6aa70. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | OK | Oct 30 2024 |
| R-4.5-linux | OK | Oct 30 2024 |
| R-4.4-win | OK | Oct 30 2024 |
| R-4.4-mac | OK | Oct 30 2024 |
| R-4.3-win | OK | Oct 30 2024 |
| R-4.3-mac | OK | Oct 30 2024 |
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
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Presize shiny app | launch_presize_app |
| Sample size or precision for AUC | prec_auc |
| Sample size or precision for correlation coefficient | prec_cor |
| Sample size or precision for Cronbach's alpha | prec_cronb |
| Sample size or precision for an intraclass correlation | prec_icc |
| Sample size or precision for Cohen's kappa | prec_kappa |
| Sample size or precision for limit of agreement on Bland-Altman plots | prec_lim_agree |
| Sample size or precision for likelihood ratios | prec_lr prec_neg_lr prec_pos_lr |
| Sample size or precision for a mean | prec_mean |
| Sample size or precision for a mean difference | prec_meandiff |
| Sample size or precision for an odds ratio | prec_or |
| Sample size or precision for a proportion | prec_prop |
| Sample size or precision for a rate | prec_rate |
| Sample size or precision for a rate ratio | prec_rateratio |
| Sample size or precision for risk difference | prec_riskdiff |
| Sample size or precision for risk ratio | prec_riskratio |
| Sample size and precision of sensitivity and specificity | prec_sens prec_spec |
