predict.glmpathcr | R Documentation |
Returns either the predicted class or the fitted probabilities from the penalized continuation ratio model from a glmpathcr
object.
## S3 method for class 'glmpathcr'
predict(object, newx = NULL, which = "BIC", type = "class", ...)
## S3 method for class 'glmpathcr'
fitted(object, newx = NULL, which = "BIC", type = "class", ...)
object |
a |
newx |
a data matrix containing the predictor variables, if NULL, the original training data is used for getting model predictions |
which |
used for model selection, either the default |
type |
used for selecting desired output, either the default |
... |
additional optional arguments |
Either a vector of the predicted class labels or a matrix containing the fitted probabilities is returned.
Kellie J. Archer, archer.43@osu.edu
Archer K.J., Williams A.A.A. (2012) L1 penalized continuation ratio models for ordinal response prediction using high-dimensional datasets. Statistics in Medicine, 31(14), 1464-74.
See also as glmpathcr
, coef.glmpathcr
.
data(diabetes)
x <- diabetes[, 2:dim(diabetes)[2]]
y <- diabetes$y
fit <- glmpathcr(x, y)
pred <- predict(fit)
table(pred, y)
pred <- predict(fit, which="AIC", type="probs")
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