Introduction | Installation | Examples | 1. Bivariate Normal distribution | 2. Bivariate Gamma distribution | 3. Linear model with Normal error terms | 4. Gamma GLM with any link function | 5. General likelihood model | Note | References
Package: gofedf 1.1.0
gofedf: Goodness of Fit Tests Based on Empirical Distribution Functions
Routines that allow the user to run goodness of fit tests based on empirical distribution functions for formal model evaluation in a general likelihood model. In addition, functions are provided to test if a sample follows Normal or Gamma distributions, validate the normality assumptions in a linear model, and examine the appropriateness of a Gamma distribution in generalized linear models with various link functions. Michael Arthur Stephens (1976) <http://www.jstor.org/stable/2958206>.
Authors:
gofedf_1.1.0.tar.gz
gofedf_1.1.0.zip(r-4.7)gofedf_1.1.0.zip(r-4.6)gofedf_1.1.0.zip(r-4.5)
gofedf_1.1.0.tgz(r-4.6-any)gofedf_1.1.0.tgz(r-4.5-any)
gofedf_1.1.0.tar.gz(r-4.7-any)gofedf_1.1.0.tar.gz(r-4.6-any)
gofedf_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gofedf/json (API)
| # Install 'gofedf' in R: |
| install.packages('gofedf', repos = c('https://pnickchi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pnickchi/gofedf/issues
Last updated from:4f5a65f027. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 100 | ||
| source / vignettes | OK | 166 | ||
| linux-release-x86_64 | OK | 112 | ||
| macos-release-arm64 | OK | 102 | ||
| macos-oldrel-arm64 | OK | 106 | ||
| windows-devel | OK | 75 | ||
| windows-release | OK | 84 | ||
| windows-oldrel | OK | 65 | ||
| wasm-release | OK | 101 |
Exports:IGMLEIGPITIGScoretestExponentialtestGammatestGLMGammatestLMNormaltestNormaltestYourModel
Dependencies:CompQuadFormglm2MASSstatmod
