Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Qi Liu, Bryan Shepherd, Chun Li
Title: PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals
Abstract: We present the R package PResiduals for residual analysis using the probability-scale residual. This residual is well defined for a wide variety of outcome types and models, including some settings where other popular residuals are not applicable. It can be used for model diagnostics, tests of conditional associations, and covariate-adjustment for Spearman's rank correlation. These tests and measures of conditional association are applicable to any orderable variable. They use order information but do not require assigning scores to ordered categorical variables or transforming continuous variables, and therefore, can achieve a good balance between robustness and efficiency. We illustrate the usage of the PResiduals package with a publicly available dataset.

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Paper: PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals     Download PDF (Downloads: 253)
Supplements:
PResiduals_1.0-0.tar.gz: R source package Download (Downloads: 14; 47KB)
v94i12.R: R replication code Download (Downloads: 19; 24KB)

DOI: 10.18637/jss.v094.i12

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.