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
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ssev_0.1.0.tgz(r-4.4-any)ssev_0.1.0.tgz(r-4.3-any)
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ssev.pdf |ssev.html
ssev/json (API)

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

Peer review:

On CRAN:

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

1 exports 0.00 score 75 dependencies 1 scripts 129 downloads

Last updated 6 years agofrom:fcb7ff3b44. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-winOKAug 31 2024
R-4.5-linuxOKAug 31 2024
R-4.4-winOKAug 31 2024
R-4.4-macOKAug 31 2024
R-4.3-winOKAug 31 2024
R-4.3-macOKAug 31 2024

Exports:compute_sample_size

Dependencies:backportsbitbit64broomclicliprcodetoolscolorspacecpp11crayondplyrevaluatefansifarverforcatsforeachgeeMgeepackgenericsggformulaggplot2ggridgesglmnetgluegtablehavenhighrhmsisobanditeratorskinship2knitrlabelinglabelledlatticelifecyclemagrittrMASSMatrixMESSmgcvmosaicCoremunsellmvtnormnlmepillarpkgconfigprettyunitsprogresspurrrpwrquadprogR6RColorBrewerRcppRcppArmadilloRcppEigenreadrrlangscalesshapestringistringrsurvivaltibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunyaml