The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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:
Please use the canonical form
https://CRAN.R-project.org/package=pwr4exp
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.