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PResiduals (version 1.0-1)

Probability-Scale Residuals and Residual Correlations

Description

Computes probability-scale residuals and residual correlations for continuous, ordinal, binary, count, and time-to-event data .

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Version

Install

install.packages('PResiduals')

Monthly Downloads

276

Version

1.0-1

License

GPL (>= 2)

Maintainer

Last Published

June 24th, 2021

Functions in PResiduals (1.0-1)

cobot

Conditional ordinal by ordinal tests for association.
print.cobot

cobot class print method
presid

Probability-scale residual
megabot

Conditional tests for association.
print.cocobot

cocobot class print method
conditional_Spearman

Conditional Partial Spearman's Rank Correlation
print.conditional_Spearman

conditional_Spearman class print method
kernel.function

kernel.function
print.partial_Spearman

partial_Spearman class print method
diagn

Extract or construct a diagonal matrix.
newpolr

slightly modified version of polr from MASS
partial_Spearman

Partial Spearman's Rank Correlation
plot.conditional_Spearman

conditional_Spearman class plot method
GKGamma

Goodman-Kruskal's \(\gamma\)
countbot

Conditional count by ordinal tests for association.
cocobot

Conditional continuous by ordinal tests for association.
PResiduals-package

Computes probability-scale residuals and residual correlations.
corr

Calculates the weighted correlation given a data set and a set of weights.
PResidData

Example Dataset for PResiduals Package