R: Goodness of Fit Tests Based on Empirical Distribution Functions

# Goodness of Fit Tests Based on Empirical Distribution Functions

## Documentation for package ‘gofedf’ version 1.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

IGMLE | Compute the maximum likelihood estimate of parameters in Inverse Gaussian distribution with weighted observations.
IGPIT | Compute the probability integral transformed values for a sample from Inverse Gaussian distribution.
IGScore | Compute the score function of the Inverse Gaussian distribution based on a sample.
testExponential | Apply Goodness of Fit Test for Exponential Distribution
testGamma | Apply Goodness of Fit Test for Gamma Distribution
testGLMGamma | Apply Goodness of Fit Test to the Residuals of a Generalized Linear Model with Gamma Link Function
testLMNormal | Apply Goodness of Fit Test to Residuals of a Linear Model
testNormal | Apply Goodness of Fit Test for Normal Distribution
testYourModel | Apply the Goodness of Fit Test Based on Empirical Distribution Function to Any Likelihood Model.