Package: gmodels 2.19.1
gmodels: Various R Programming Tools for Model Fitting
Various R programming tools for model fitting.
Authors:
gmodels_2.19.1.tar.gz
gmodels_2.19.1.zip(r-4.5)gmodels_2.19.1.zip(r-4.4)gmodels_2.19.1.zip(r-4.3)
gmodels_2.19.1.tgz(r-4.4-any)gmodels_2.19.1.tgz(r-4.3-any)
gmodels_2.19.1.tar.gz(r-4.5-noble)gmodels_2.19.1.tar.gz(r-4.4-noble)
gmodels_2.19.1.tgz(r-4.4-emscripten)gmodels_2.19.1.tgz(r-4.3-emscripten)
gmodels.pdf |gmodels.html✨
gmodels/json (API)
NEWS
# Install 'gmodels' in R: |
install.packages('gmodels', repos = c('https://r-gregmisc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/r-gregmisc/gmodels/issues
Last updated 8 months agofrom:09ba72e8b3. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win | OK | Nov 02 2024 |
R-4.5-linux | OK | Nov 02 2024 |
R-4.4-win | NOTE | Nov 02 2024 |
R-4.4-mac | NOTE | Nov 02 2024 |
R-4.3-win | NOTE | Nov 02 2024 |
R-4.3-mac | NOTE | Nov 02 2024 |
Exports:.to.estcici.binomcoefFrameCrossTableest_p_ciestimablefast.prcompfast.svdfit.contrastglh.testmake.contrasts
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Return a vector for cm in estimable() | .to.est |
Compute Confidence Intervals | ci ci.binom ci.estimable ci.fit_contrast ci.lm ci.lme ci.numeric |
Return model parameters in a data frame | coefFrame |
Cross Tabulation with Tests for Factor Independence | CrossTable |
Display estimate, confidence interval and p-value for one model term | est_p_ci |
Contrasts and estimable linear functions of model coefficients | estimable estimable.default estimable.mlm |
Efficient computation of principal components and singular value decompositions. | fast.prcomp fast.svd |
Compute and test arbitrary contrasts for regression objects | fit.contrast fit.contrast.lm fit.contrast.lme |
Test a General Linear Hypothesis for a Regression Model | glh.test print.glh.test summary.glh.test |
Construct a User-Specified Contrast Matrix | make.contrasts |