rpms: Recursive Partitioning for Modeling Survey Data

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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 endnode as an R object of class "rpms". The package provides a number of functions and methods for this rpms class.

Author
daniell toth [aut, cre]
Date of publication
2016-10-21 21:56:52
Maintainer
daniell toth <danielltoth@yahoo.com>
License
CC0
Version
0.1.0

View on CRAN

Man pages

CE
CE Consumer expenditure data (first quarter of 2014)
domain_est
domain_est
in_node
in_node
node_plot
node_plot
predict.rpms
predict.rpms
print.rpms
print.rpms
qtree
qtree
rpms
rpms
split
split
survLm
survLm
survLm_model
Fit a linear model using data collected from a complex sample
ttest
ttest
var_select
var_select
Wtest
Wtest (Wald Test for sample weights)

Files in this package

rpms
rpms/src
rpms/src/Makevars
rpms/src/C_functions_RP.cpp
rpms/src/Makevars.win
rpms/src/RcppExports.cpp
rpms/src/variable_test_rpms.cpp
rpms/NAMESPACE
rpms/data
rpms/data/CE.rda
rpms/R
rpms/R/qtree.R
rpms/R/RcppExports.R
rpms/R/rpms.R
rpms/R/weight_tests.R
rpms/R/main_0_1_0.R
rpms/R/sfun_rpm_0_1.R
rpms/MD5
rpms/DESCRIPTION
rpms/man
rpms/man/predict.rpms.Rd
rpms/man/print.rpms.Rd
rpms/man/Wtest.Rd
rpms/man/in_node.Rd
rpms/man/split.Rd
rpms/man/survLm.Rd
rpms/man/ttest.Rd
rpms/man/var_select.Rd
rpms/man/node_plot.Rd
rpms/man/qtree.Rd
rpms/man/CE.Rd
rpms/man/domain_est.Rd
rpms/man/survLm_model.Rd
rpms/man/rpms.Rd