Package: statmod 1.5.0
statmod: Statistical Modeling
A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families, secure convergence and exact distributional calculations for unit deviances.
Authors:
statmod_1.5.0.tar.gz
statmod_1.5.0.zip(r-4.5)statmod_1.5.0.zip(r-4.4)statmod_1.5.0.zip(r-4.3)
statmod_1.5.0.tgz(r-4.4-x86_64)statmod_1.5.0.tgz(r-4.4-arm64)statmod_1.5.0.tgz(r-4.3-x86_64)statmod_1.5.0.tgz(r-4.3-arm64)
statmod_1.5.0.tar.gz(r-4.5-noble)statmod_1.5.0.tar.gz(r-4.4-noble)
statmod_1.5.0.tgz(r-4.4-emscripten)statmod_1.5.0.tgz(r-4.3-emscripten)
statmod.pdf |statmod.html✨
statmod/json (API)
NEWS
# Install 'statmod' in R: |
install.packages('statmod', repos = c('https://gksmyth.r-universe.dev', 'https://cloud.r-project.org')) |
- welding - Data: Tensile Strength of Welds
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:f85e320113. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
R-4.4-win-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-aarch64 | OK | Nov 07 2024 |
R-4.3-win-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:canonic.digammacompareGrowthCurvescompareTwoGrowthCurvescumulant.digammad2cumulant.digammaDigammadinvgausseldaeldaOneGroupexpectedDeviancefitNBPforwardgauss.quadgauss.quad.probglm.scoretestglmgam.fitglmnb.fithommel.testlimdillogmdigammamatvecmeanTmeanval.digammamixedModel2mixedModel2FitmscalepermppinvgaussplotGrowthCurvespower.fisher.testqinvgaussqres.binomqres.defaultqres.gammaqres.invgaussqres.nbinomqres.poisqres.tweedieqresidqresidualsrandomizedBlockrandomizedBlockFitremlscoreremlscoregammarinvgausssage.testtweedieunitdeviance.digammavarfun.digammavecmat
Dependencies: