Package: ssev 0.1.0

ssev: Sample Size Computation for Fixed N with Optimal Reward

Computes the optimal sample size for various 2-group designs (e.g., when comparing the means of two groups assuming equal variances, unequal variances, or comparing proportions) when the aim is to maximize the rewards over the full decision procedure of a) running a trial (with the computed sample size), and b) subsequently administering the winning treatment to the remaining N-n units in the population. Sample sizes and expected rewards for standard t- and z- tests are also provided.

Authors:Maurits Kaptein [aut, cre]

ssev_0.1.0.tar.gz
ssev_0.1.0.zip(r-4.7)ssev_0.1.0.zip(r-4.6)ssev_0.1.0.zip(r-4.5)
ssev_0.1.0.tgz(r-4.6-any)ssev_0.1.0.tgz(r-4.5-any)
ssev_0.1.0.tar.gz(r-4.7-any)ssev_0.1.0.tar.gz(r-4.6-any)
ssev_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ssev/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 141 downloads 1 exports 95 dependencies

Last updated from:fcb7ff3b44. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK172
source / vignettesOK208
linux-release-x86_64OK138
macos-release-arm64OK207
macos-oldrel-arm64OK154
windows-develOK82
windows-releaseOK147
windows-oldrelOK67
wasm-releaseOK140

Exports:compute_sample_size

Dependencies:backportsbase64encbitbit64broombslibcachemclicliprcodetoolscpp11crayondigestdplyrevaluatefarverfastmapfontawesomefontBitstreamVerafontLiberationfontquiverforcatsforeachfsgdtoolsgeeMgeepackgenericsggformulaggiraphggplot2ggridgesglmnetgluegtablehavenhighrhmshtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekinship2knitrlabelinglabelledlatticelifecyclemagrittrMASSMatrixmemoiseMESSmimemosaicCoremvtnormpillarpkgconfigprettyunitsprogresspurrrpwrquadprogR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreadrrlangrmarkdownS7sassscalesshapestringistringrsurvivalsystemfontstibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunyaml