This package is considered a duplicate. The official version of this package is found at:https://dcr-unibe-ch.r-universe.dev/presize

Package: presize 0.3.13

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_0.3.13.tar.gz
presize_0.3.13.zip(r-4.7)presize_0.3.13.zip(r-4.6)presize_0.3.13.zip(r-4.5)
presize_0.3.13.tgz(r-4.6-any)presize_0.3.13.tgz(r-4.5-any)
presize_0.3.13.tar.gz(r-4.7-any)presize_0.3.13.tar.gz(r-4.6-any)
presize_0.3.13.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
presize/json (API)

# 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/dcr-unibe-ch/presize/issues

Pkgdown/docs site:https://dcr-unibe-ch.github.io

On CRAN:

confidence-intervals precision sample-size-calculation shiny-app

6.63 score 21 stars 1 packages 45 scripts 755 downloads 20 exports 31 dependencies

Last updated from:233e9ba05e. Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	158
source / vignettes	OK	214
linux-release-x86_64	OK	139
macos-release-arm64	OK	99
macos-oldrel-arm64	OK	118
windows-devel	OK	77
windows-release	OK	96
windows-oldrel	OK	71
wasm-release	OK	163

Exports:launch_presize_app prec_auc prec_cor prec_cronb prec_icc prec_kappa prec_lim_agree prec_lr prec_mean prec_meandiff prec_neg_lr prec_or prec_pos_lr prec_prop prec_rate prec_rateratio prec_riskdiff prec_riskratio prec_sens prec_spec

Dependencies:base64enc bslib cachem cli commonmark digest fastmap fontawesome fs glue htmltools httpuv jquerylib jsonlite kappaSize later lifecycle magrittr memoise mime otel promises R6 rappdirs Rcpp rlang sass shiny sourcetools withr xtable

presize

Using presize | Precision with a fixed N | N for a fixed precision | Multiple scenarios

Rendered frompresize.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

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