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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>.
Getting started
Browse package contents
Package details |
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| Author | Richard Lockhart [aut], Payman Nickchi [aut, cre] |
| Maintainer | Payman Nickchi <payman.nickchi@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| URL | https://github.com/pnickchi/gofedf |
| Package repository | View on CRAN |
| Installation |
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