rpms: Recursive Partitioning for Modeling Survey Data

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.

Version: 0.3.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.12.3)
LinkingTo: Rcpp, RcppArmadillo
Published: 2018-05-05
Author: Daniell Toth [aut, cre]
Maintainer: Daniell Toth <danielltoth at yahoo.com>
License: CC0
NeedsCompilation: yes
In views: OfficialStatistics
CRAN checks: rpms results


Reference manual: rpms.pdf
Vignettes: An Introduction to rpms
Package source: rpms_0.3.0.tar.gz
Windows binaries: r-devel: rpms_0.3.0.zip, r-release: rpms_0.3.0.zip, r-oldrel: rpms_0.3.0.zip
OS X binaries: r-release: rpms_0.3.0.tgz, r-oldrel: rpms_0.3.0.tgz
Old sources: rpms archive

Reverse dependencies:

Reverse imports: mase


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