PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals
Dublin Core
Title
PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals
Subject
residual, diagnostics, correlation, association, covariate-adjustment, rank statistics
Description
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
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
Creator
Qi Liu
Source
https://www.jstatsoft.org/article/view/v094i12
Publisher
Merck & CO., Inc.
Date
June 2020
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Qi Liu, “PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals,” Repository Horizon University Indonesia, accessed May 14, 2025, https://repository.horizon.ac.id/items/show/8145.