GOF_lm_sim_param: Implements the "interface" GOF_model_simulator for for linear...
In bootGOF: Bootstrap Based Goodness-of-Fit Tests
Description
after the classical linear model was fitted the
normal distribution of the
of the dependent variable is fully specified and used here
to generate new depenedent variables that follow model
Methods
Public methods
Method resample_y()
generates/resamples the dependent variables based
on the parameteric nature defined by model
Usage
GOF_lm_sim_param$resample_y(model)
Arguments
modelsee GOF_model_simulator
Returns
see GOF_model_simulator
Method clone()
The objects of this class are cloneable with this method.
Usage
GOF_lm_sim_param$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
bootGOF documentation built on June 24, 2021, 9:12 a.m.
R Package Documentation
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Description
after the classical linear model was fitted the
normal distribution of the
of the dependent variable is fully specified and used here
to generate new depenedent variables that follow model
Methods
Public methods
Method resample_y()
generates/resamples the dependent variables based
on the parameteric nature defined by model
Usage
GOF_lm_sim_param$resample_y(model)
Arguments
modelsee GOF_model_simulator
Returns
see GOF_model_simulator
Method clone()
The objects of this class are cloneable with this method.
Usage
GOF_lm_sim_param$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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