ord.resid: Probability residual of ordinal logistic regreession
In MXM: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Probability residual of ordinal logistic regreession R Documentation
Probability residual of ordinal logistic regreession
Description
Probability residual of ordinal logistic regreession.
Usage
ord.resid(y, est)
Arguments
y
An ordered factor variable or a numerical vector.
est
A matrix with the fitted values of an ordinal logistic regression model.
Details
The probability residual of an ordinal logistic regression model is calculated (Li and Shepherd, 2012).
It is a vector, irrespective of how many categories there are.
Value
A vector with the probability residuals.
Author(s)
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr
References
Li C., & Shepherd B. E. (2012). A new residual for ordinal outcomes. Biometrika, 99(2): 473–480.
See Also
testIndOrdinal, ordinal.reg
Examples
library(MASS)
y <- factor( rbinom(400, 3, 0.6), ordered = TRUE )
x <- rnorm(400)
mod <- MASS::polr(y ~ x)
res <- ord.resid(y, mod$fitted.values)
MXM documentation built on Aug. 25, 2022, 9:05 a.m.
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| Probability residual of ordinal logistic regreession | R Documentation |
Probability residual of ordinal logistic regreession
Description
Probability residual of ordinal logistic regreession.
Usage
ord.resid(y, est)
Arguments
y |
An ordered factor variable or a numerical vector. |
est |
A matrix with the fitted values of an ordinal logistic regression model. |
Details
The probability residual of an ordinal logistic regression model is calculated (Li and Shepherd, 2012). It is a vector, irrespective of how many categories there are.
Value
A vector with the probability residuals.
Author(s)
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr
References
Li C., & Shepherd B. E. (2012). A new residual for ordinal outcomes. Biometrika, 99(2): 473–480.
See Also
testIndOrdinal, ordinal.reg
Examples
library(MASS) y <- factor( rbinom(400, 3, 0.6), ordered = TRUE ) x <- rnorm(400) mod <- MASS::polr(y ~ x) res <- ord.resid(y, mod$fitted.values)
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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