Package: pass.lme 0.9.0
pass.lme: Power and Sample Size for Linear Mixed Effect Models
Power and sample size calculation for testing fixed effect coefficients in multilevel linear mixed effect models with one or more than one independent populations. Laird, Nan M. and Ware, James H. (1982) <doi:10.2307/2529876>.
Authors:
pass.lme_0.9.0.tar.gz
pass.lme_0.9.0.zip(r-4.5)pass.lme_0.9.0.zip(r-4.4)pass.lme_0.9.0.zip(r-4.3)
pass.lme_0.9.0.tgz(r-4.4-any)pass.lme_0.9.0.tgz(r-4.3-any)
pass.lme_0.9.0.tar.gz(r-4.5-noble)pass.lme_0.9.0.tar.gz(r-4.4-noble)
pass.lme_0.9.0.tgz(r-4.4-emscripten)pass.lme_0.9.0.tgz(r-4.3-emscripten)
pass.lme.pdf |pass.lme.html✨
pass.lme/json (API)
# Install 'pass.lme' in R: |
install.packages('pass.lme', repos = c('https://marcocyyu.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:3ec676bfb8. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 15 2024 |
R-4.5-win | OK | Sep 15 2024 |
R-4.5-linux | OK | Sep 15 2024 |
R-4.4-win | OK | Sep 15 2024 |
R-4.4-mac | OK | Sep 15 2024 |
R-4.3-win | OK | Sep 15 2024 |
R-4.3-mac | OK | Sep 15 2024 |
Exports:lme.Lb.dist.thetapass.lme.CLb.test
Dependencies: