predict.glmnetcr: AIC, BIC, Predicted Class, and Fitted Probabilities for All...

In glmnetcr: Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response

AIC, BIC, Predicted Class, and Fitted Probabilities for All Models

Description

Returns the AIC, BIC, predicted class, and the fitted probabilities for the K classes for all steps along the path.

Usage

## S3 method for class 'glmnetcr'
predict(object, newx = NULL, ...)

Arguments

object	a glmnetcr object
newx	a data matrix representing the predictor variables, if missing defaults to original data used in fitting the model
...	additional optional arguments

Value

AIC	a numeric vector representing the AIC for each step
BIC	a numeric vector representing the BIC for each step
class	a matrix with n rows indicating the predicted class for each observation in newx for each stepp
probs	an array where for each step, a matrix of n rows and K columns indicates the fitted class probabilities for each observation and class

Author(s)

Kellie J. Archer, [e-mail]

See Also

See Also as glmnetcr, fitted.glmnetcr

Examples

data(diabetes)
x <- diabetes[, 2:dim(diabetes)[2]]
y <- diabetes$y
glmnet.fit <- glmnetcr(x, y)
result <- predict(glmnet.fit)
names(result)

glmnetcr documentation built on April 12, 2025, 1:20 a.m.