get_prediction {variancePartition}R Documentation

Compute predicted value of formula for linear mixed model

Description

Compute predicted value of formula for linear mixed model for with lmer

Usage

get_prediction(fit, formula)

Arguments

fit

model fit with lmer

formula

formula of fixed and random effects to predict

Details

Similar motivation as lme4:::predict.merMod(), but that function cannot use just a subset of the fixed effects: it either uses none or all. Note that the intercept is included in the formula by default. To exclude it from the prediction use ~ 0 + ... syntax

Value

Predicted values from formula using parameter estimates from fit linear mixed model

Examples


library(lme4)

# fit model
fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)

# predict Days, but exclude intercept
get_prediction( fm1, ~ 0 + Days)

# predict Days and (Days | Subject) random effect, but exclude intercept
get_prediction( fm1, ~ 0 + Days +  (Days | Subject))


[Package variancePartition version 1.18.3 Index]