Package: rpms 0.5.1

Daniell Toth

rpms: Recursive Partitioning for Modeling Survey Data

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.

Authors:Daniell Toth [aut, cre]

rpms_0.5.1.tar.gz
rpms_0.5.1.tar.gz(r-4.5-noble)rpms_0.5.1.tar.gz(r-4.4-noble)
rpms_0.5.1.tgz(r-4.4-emscripten)rpms_0.5.1.tgz(r-4.3-emscripten)
rpms.pdf |rpms.html✨
rpms/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

15 exports 1.16 score 2 dependencies 3 dependents 1 mentions 28 scripts 338 downloads

Last updated 3 years agofrom:78f9269681. Checks:OK: 2. Indexed: yes.

Exports:box_indboxesend_nodesgrow_rpmsin_nodelinearizenode_plotprune_rpmsqtreer2statrpmsrpms_boostrpms_forestrpms_projrpms_zinf

Dependencies:RcppRcppArmadillo