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.
Version: |
0.1.0 |
Depends: |
R (≥ 2.10) |
Imports: |
car (≥ 3.1.2), emmeans (≥ 1.10.3), lme4 (≥ 1.1.35.4), lmerTest (≥ 3.1.3), methods |
Suggests: |
agricolae, AlgDesign, crossdes, FrF2, knitr, rmarkdown |
Published: |
2024-10-11 |
DOI: |
10.32614/CRAN.package.pwr4exp |
Author: |
Kai Wang [aut,
cre, cph],
Mutian Niu [aut,
cph] |
Maintainer: |
Kai Wang <kai.wang at usys.ethz.ch> |
BugReports: |
https://github.com/an-ethz/pwr4exp/issues |
License: |
MIT + file LICENSE |
URL: |
https://github.com/an-ethz/pwr4exp,
https://an-ethz.github.io/pwr4exp/ |
NeedsCompilation: |
no |
Citation: |
pwr4exp citation info |
Materials: |
README NEWS |
CRAN checks: |
pwr4exp results |
Documentation:
Downloads:
Linking:
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