rpms-package

<p>This package provides a function <code>rpms</code> to produce an <code>rpms</code> object 
and method functions that operate on them. 
The <code>rpms</code> object is a representation of a regression tree achieved
by recursively partioning the dataset, fitting the specified linear model
on each node seperately.
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.
This version does not handle missing values, so only complete cases of a 
dataset are used.</p>

Fits a linear model to survey data in each node obtained by
recursively partitioning the data.  The splitting variables and splits
selected are obtained using a procedure which adjusts for complex sample
design features used to obtain the data. Likewise the model fitting
algorithm produces design-consistent coefficients to the least squares
linear model between the dependent and independent variables.
The first stage of the design is accounted for in the provided variance
estimates. The main function returns the resulting binary tree with the
linear model fit at every end-node. The package provides a number of
functions and methods for these trees.

rpms-package: Recursive Partitioning for Modeling Survey Data (rpms)

Description

Arguments