GOF_sim_wild_rademacher: Implements the "interface" GOF_model_simulator in a...
In bootGOF: Bootstrap Based Goodness-of-Fit Tests
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$new(gof_model_info_extractor)
Arguments
gof_model_info_extractorthe info extractor that is used
to derive the residuals and fitted values for resampling.
Method resample_y()
a wild bootstrap using Rademacher random
variables to resample the dependent variable
Usage
GOF_sim_wild_rademacher$resample_y(model)
Arguments
modelsee 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$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
bootGOF documentation built on June 24, 2021, 9:12 a.m.
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Description
This is a model agnostic resampling class, where Rademacher random variables are used to add or substract the residuals from the fitted values.
Methods
Public methods
Method new()
Usage
GOF_sim_wild_rademacher$new(gof_model_info_extractor)
Arguments
gof_model_info_extractorthe 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$resample_y(model)
Arguments
modelsee GOF_model_simulator
Returns
see GOF_model_simulator
Method clone()
The objects of this class are cloneable with this method.
Usage
GOF_sim_wild_rademacher$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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