Model Predictions

Model Predictions

Usage

# S3 method for class 'fastlmm'
predict(object, newdata = NULL, type = c("response", "terms"), ...)

# S3 method for class 'fastglmm'
predict(object, newdata = NULL, type = c("link", "response", "terms"), ...)

Arguments

object

fitted model of class fastlmm

newdata

optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted predictors are used.

type

the type of prediction required. The default is on the scale of the linear predictors; the alternative "response" is on the scale of the response variable. Thus for a default binomial model the default predictions are of log-odds (probabilities on logit scale) and type = "response" gives the predicted probabilities. type = "terms" computes the linear predict for each model term

...

other args, not used

Examples

library(MASS)

# GLMM via PQL
fit <- fastglmm(y ~ trt + I(week > 2) + (1 | ID),
   family = binomial(), data = bacteria)

predict(fit)[1:3]
#> [1] 4.048960 4.048960 2.441364