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rpms
View on CRAN: Click
here
Download and install rpms package within the R console
Install from CRAN:
install.packages("rpms")
Install from Github:
library("remotes")
install_github("cran/rpms") Install by package version:
library("remotes")
install_version("rpms", "0.5.1") Attach the package and use:
library("rpms")
Maintained by
Daniell Toth
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-21
Latest Update: 2021-06-25
Description:
Functions to allow users to build and analyze design consistent
tree and random forest models using survey data from a complex sample
design. The tree model algorithm can fit a linear model to survey data
in each node obtained by recursively partitioning the data. The splitting
variables and selected splits are obtained using a randomized permutation
test procedure which adjusted for complex sample design features used to
obtain the data. Likewise the model fitting algorithm produces
design-consistent coefficients to any specified least squares linear model
between the dependent and independent variables used in the end nodes.
The main functions return the resulting binary tree or random forest as
an object of "rpms" or "rpms_forest" type. The package also provides methods
modeling a "boosted" tree or forest model and a tree model for zero-inflated
data as well as a number of functions and methods available for use with
these object types.
How to cite:
Daniell Toth (2016). rpms: Recursive Partitioning for Modeling Survey Data. R package version 0.5.1, https://cran.r-project.org/web/packages/rpms. Accessed 25 Jun. 2026.
Previous versions and publish date:
Other packages that cited rpms R package
View rpms citation profile
Other R packages that rpms depends,
imports, suggests or enhances
Complete documentation for rpms
Functions, R codes and Examples using
the rpms R package
Some associated functions: CE . box_ind . boxes . end_nodes . grow_rpms . in_node . linearize . node_plot . predict.rpms . predict.rpms_boost . predict.rpms_forest . predict.rpms_proj . predict.rpms_zinf . print.rpms . print.rpms_forest . print.rpms_zinf . prune_rpms . qtree . r2stat . rpms-package . rpms . rpms_boost . rpms_forest . rpms_proj . rpms_zinf . survLm . survLm_model .
Some associated R codes: RcppExports.R . extend_21_03_03.R . main_20_06_30.R . qtree_20_07_09.R . rpms.R . sfun_rpm_20_04_04.R . Full rpms package functions and examples
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