rpms-package: Recursive Partitioning for Modeling Survey Data (rpms)
In rpms: Recursive Partitioning for Modeling Survey Data
Description
This package provides a function rpms to produce an rpms object
and method functions that operate on them.
The rpms object is a representation of a regression tree achieved
by recursively partitioning the dataset, fitting the specified linear model
on each node separately.
The recursive partitioning algorithm has an unbiased variable selection
and accounts for the sample design.
The algorithm accounts for one-stage of stratification and clustering as
well as unequal probability of selection.
There are also functions for producing random forest estimator
(a list of rpms objects), a boosted regression tree and tree
based zero-inflated model.
rpms documentation built on June 26, 2021, 1:07 a.m.
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Description
This package provides a function rpms to produce an rpms object
and method functions that operate on them.
The rpms object is a representation of a regression tree achieved
by recursively partitioning the dataset, fitting the specified linear model
on each node separately.
The recursive partitioning algorithm has an unbiased variable selection
and accounts for the sample design.
The algorithm accounts for one-stage of stratification and clustering as
well as unequal probability of selection.
There are also functions for producing random forest estimator
(a list of rpms objects), a boosted regression tree and tree
based zero-inflated model.
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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