predict.glm.prmdt {traineR} | R Documentation |
predict.glm.prmdt
Description
Return prediction for a glm
model.
Usage
## S3 method for class 'glm.prmdt'
predict(
object,
newdata,
type = "class",
se.fit = FALSE,
dispersion = NULL,
terms = NULL,
na.action = na.pass,
...
)
Arguments
object |
a |
newdata |
an optional data frame in which to look for variables with which to predict. |
type |
type of prediction 'prob' or 'class' (default). |
se.fit |
logical switch indicating if standard errors are required. |
dispersion |
the dispersion of the GLM fit to be assumed in computing the standard errors. If omitted, that returned by summary applied to the object is used. |
terms |
with type = "terms" by default all terms are returned. A character vector specifies which terms are to be returned. |
na.action |
function determining what should be done with missing values in newdata. The default is to predict NA. |
... |
additional arguments affecting the predictions produced. |
Value
a vector or matrix of predictions for glm model.
[Package traineR version 2.2.0 Index]