R: Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression

# Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression

## Documentation for package ‘gofreg’ version 1.0.0

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

## Help Pages

CondKolmbXY | Conditional Kolmogorov test statistic for the joint distribution of (beta^T X,Y)
CondKolmXY | Conditional Kolmogorov test statistic for the joint distribution of (X,Y)
CondKolmY | Conditional Kolmogorov test statistic for the marginal distribution of Y
CondKolmY_RCM | Conditional Kolmogorov test statistic for the marginal distribution of Y under random censorship
ExpGLM | Generalized linear model with exponential distribution
GammaGLM | Generalized linear model with gamma distribution
GLM | Generalized linear model (abstract class)
GLM.new | Create GLM object with specific distribution family
GOFTest | Goodness-of-fit test for parametric regression
loglik_xy | Negative log-likelihood function for a parametric regression model
loglik_xzd | Negative log-likelihood function for a parametric regression model under random censorship
MEP | Marked empirical process test statistic for a given GLM
NegBinomGLM | Generalized linear model with negative binomial distribution
NormalGLM | Generalized linear model with normal distribution
ParamRegrModel | Parametric regression model (abstract class)
resample_param | Parametric resampling scheme for a parametric regression model
resample_param_cens | Parametric resampling scheme for a parametric regression model under random censorship
resample_param_rsmplx | Parametric resampling scheme for a parametric regression model with resampling of covariates
SICM | Simulated integrated conditional moment test statistic
TestStatistic | Test Statistic for parametric regression models (abstract class)
WeibullGLM | Generalized linear model with Weibull distribution