ImpGamlssBootstrap: GAMLSS bootstrap method
In dsalfran/ImputeRobust: Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape
Description
Usage
Arguments
Value
Description
Creates a random generation function for the missing
values with bootstrap sample from the fitted GAMLSS model for the
completely observed data.
Usage
1
ImpGamlssBootstrap(incomplete.data, fit, R, ...)
Arguments
incomplete.data
Data frame with missings on one variable.
fit
Random sample generator method.
R
Boolean matrix with the response indicator.
...
extra arguments for the control of the gamlss fitting
function
Value
Returns a imputation sample generator.
dsalfran/ImputeRobust documentation built on May 15, 2019, 2:57 p.m.
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Description Usage Arguments Value
Description
Creates a random generation function for the missing values with bootstrap sample from the fitted GAMLSS model for the completely observed data.
Usage
1 | ImpGamlssBootstrap(incomplete.data, fit, R, ...)
|
Arguments
incomplete.data |
Data frame with missings on one variable. |
fit |
Random sample generator method. |
R |
Boolean matrix with the response indicator. |
... |
extra arguments for the control of the gamlss fitting function |
Value
Returns a imputation sample generator.
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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