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.


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install.packages("rpms")

0.3.0 by Daniell Toth, a year ago


Browse source code at https://github.com/cran/rpms


Authors: Daniell Toth [aut, cre]


Documentation:   PDF Manual  


Task views: Official Statistics & Survey Methodology


CC0 license


Imports Rcpp

Linking to Rcpp, RcppArmadillo


Imported by mase.


See at CRAN