Package: pwr4exp 0.1.0.9000

Kai Wang

pwr4exp: Power Analysis for Research Experiments

Provides tools for calculating statistical power and determining sample size for a variety of experimental designs used in agricultural and biological research, including completely randomized, block, and split-plot designs. Supports customized designs and allows specification of main effects, interactions, and contrasts for accurate power analysis.

Authors:Kai Wang [aut, cre, cph], Mutian Niu [aut, cph]

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pwr4exp.pdf |pwr4exp.html✨
pwr4exp/json (API)
NEWS

# Install 'pwr4exp' in R:
install.packages('pwr4exp', repos = c('https://an-ethz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/an-ethz/pwr4exp/issues

Pkgdown site:https://an-ethz.github.io

Datasets:
  • milk - An exemplary dataset of a 4x4 crossover design with 2 squares

On CRAN:

5.13 score 3 stars 2 scripts 199 downloads 11 exports 17 dependencies

Last updated 2 days agofrom:60f6597877. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winWARNINGFeb 18 2025
R-4.5-macWARNINGFeb 18 2025
R-4.5-linuxWARNINGFeb 18 2025
R-4.4-winWARNINGFeb 18 2025
R-4.4-macWARNINGFeb 18 2025
R-4.3-winWARNINGFeb 18 2025
R-4.3-macWARNINGFeb 18 2025

Exports:corStrdesignCODdesignCRDdesignLSDdesignRCBDdesignSPDdesignStrmkdesignpwr.anovapwr.contrastpwr.summary

Dependencies:bootemmeansestimabilitylatticelme4MASSMatrixminqamvtnormnlmenloptrnumDerivrbibutilsRcppRcppEigenRdpackreformulas

pwr4exp: Power Analysis for Experimental Designs

Rendered frompwr4exp.Rmdusingknitr::rmarkdownon Feb 18 2025.

Last update: 2025-01-25
Started: 2024-08-12