sjmisc (version 1.8)

rmse: Root Mean Squared Error (RMSE)

Description

Compute root mean squared error of fitted linear (mixed effects) models.

Usage

rmse(fit, normalized = FALSE)

Arguments

fit

Fitted linear model of class lm, merMod (lme4) or lme (nlme).

normalized

Logical, use TRUE if normalized rmse should be returned.

Value

The root mean squared error of fit; or the normalized root mean squared error of fit if normalized = TRUE.

References

• Wikipedia: RMSD
• Grace-Martin K: Assessing the Fit of Regression Models

See Also

cv

Examples

data(efc)
fit <- lm(barthtot ~ c160age + c12hour, data = efc)
rmse(fit)

library(lme4)
fit <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
rmse(fit)

# normalized RMSE
library(nlme)
fit <- lme(distance ~ age, data = Orthodont)
rmse(fit, normalized = TRUE)