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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:

Daniell Toth  
US Bureau of Labor Statistics

Presenting Author:

Daniell Toth  
US Bureau of Labor Statistics

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

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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.

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