GOF_sim_wild_rademacher {bootGOF}R Documentation

Implements the "interface" GOF_model_simulator in a semi-parametric fashion

Description

This is a model agnostic resampling class, where Rademacher random variables are used to add or substract the residuals from the fitted values.

Methods

Public methods


Method new()

Usage
GOF_sim_wild_rademacher$new(gof_model_info_extractor)
Arguments
gof_model_info_extractor

the info extractor that is used to derive the residuals and fitted values for resampling.


Method resample_y()

a wild bootstrap using Rademacher random variables to resample the dependent variable

Usage
GOF_sim_wild_rademacher$resample_y(model)
Arguments
model

see GOF_model_simulator

Returns

see GOF_model_simulator


Method clone()

The objects of this class are cloneable with this method.

Usage
GOF_sim_wild_rademacher$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


[Package bootGOF version 0.1.0 Index]