predict_broom: Generalised predict function

In berthetclement/spam: Model analisys on data spam

Description

Generic function of prediction with function augment() of package broom.

Usage

predict_broom(modele, data, new_data, type = "response")

Arguments

modele	broom-compatible model.
data	model data, class "data.frame".
new_data	Put data frame "test".
type	Default at "response" or see predict.glm(), the type of prediction required.

See Also

augment() for initial function.

Other predicting functions: pred_glm_net(), pred_keras(), pred_rpart()

Examples

library(broom)
fit <- glm(Ozone~., data= airquality)
predict_broom(modele= fit, data= airquality, new_data= airquality[2:50,], type= "response")

berthetclement/spam documentation built on Oct. 4, 2020, 9:03 p.m.