R: Bootstrap Based Goodness-of-Fit Tests

# Bootstrap Based Goodness-of-Fit Tests

## Documentation for package ‘bootGOF’ version 0.1.1

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

## Help Pages

GOF_glm_info_extractor | Implements the "interface" GOF_model_info_extractor for for generalized linear models
GOF_glm_sim_param | Implements the "interface" GOF_model_simulator for for generalized linear models
GOF_glm_trainer | Implements the "interface" GOF_model_trainer for for generalized linear models
GOF_lm_info_extractor | Implements the "interface" GOF_model_info_extractor for linear models
GOF_lm_sim_param | Implements the "interface" GOF_model_simulator for for linear models
GOF_lm_trainer | Implements the "interface" GOF_model_trainer for for linear models
GOF_model | Convenience function for creating a GOF-test for statistical models
GOF_model_info_extractor | R6 Class representing model information
GOF_model_resample | R6 Class representing the resampling scheme for Goodness-of-fit-tests for (linear) models
GOF_model_simulator | R6 Class representing a generator/resample of the dependent variable
GOF_model_test | R6 Class representing the Goodness-of-Fit test for (linear) models.
GOF_model_trainer | R6 Class representing a trainer for fitting models
GOF_sim_wild_rademacher | Implements the "interface" GOF_model_simulator in a semi-parametric fashion
Rn1_CvM | Cramer-von-Mises-statistic for marked empirical process
Rn1_KS | Kolmogorov-Smirnov-statistic for marked empirical process
Rn1_statistic | R6 Class representing statistics for marked empirical processes