Analyzing Survey Data with Tree Models: rpms R Package
Abstract Number:
3089
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Speed
Participants:
Daniell Toth (1)
Institutions:
(1) US Bureau of Labor Statistics, N/A
First Author:
Presenting Author:
Abstract Text:
The R-package rpms provides an algorithm for producing design consistent tree models of survey data. Tree models are an effective and flexible way for analyzing survey data because they provide an easily interpretable model that includes automatic variable selection as well as interaction effects, which make them very popular with analysts working with data collected from surveys.. Besides providing the functions for estimating these models, the package includes a number of functions that operate on the tree based objects to assist in understanding and analyzing survey data. We will demonstrate many of the tools in this package on data collected from a complex sample.
Keywords:
Sample Design|Regression Tree|Machine Learning|Government Survey Data|Statistical Inference|Statistical Model
Sponsors:
Survey Research Methods Section
Tracks:
Data Analysis/Modeling
Can this be considered for alternate subtype?
No
Are you interested in volunteering to serve as a session chair?
No
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.
I understand
You have unsaved changes.