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.

Authordaniell toth [aut, cre]
Date of publication2017-02-04 08:42:27
Maintainerdaniell toth <danielltoth@yahoo.com>
LicenseCC0
Version0.2.0

View on CRAN

Files

rpms
rpms/inst
rpms/inst/doc
rpms/inst/doc/rpms_2017_02_03.R
rpms/inst/doc/rpms_2017_02_03.Rnw
rpms/inst/doc/rpms_2017_02_03.pdf
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/vignettes
rpms/vignettes/rpms_refs.bib
rpms/vignettes/rpms_2017_02_03.Rnw
rpms/MD5
rpms/build
rpms/build/vignette.rds
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/rpms-package.Rd rpms/man/split.Rd rpms/man/survLm.Rd rpms/man/ttest.Rd rpms/man/end_nodes.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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.