lavaSearch2 (version 1.2.0)

residuals2: Extract Corrected Residuals

Description

Extract correct residuals from a gaussian linear model.

Usage

residuals2(object, ...)
# S3 method for lm2
residuals2(object, param = NULL, data = NULL, ...)
# S3 method for gls2
residuals2(object, param = NULL, data = NULL, ...)
# S3 method for lme2
residuals2(object, param = NULL, data = NULL, ...)
# S3 method for lvmfit2
residuals2(object, param = NULL, data = NULL, ...)

Arguments

object

a lm2, gls2, lme2, or lvmfit2 object.

...

arguments to be passed to sCorrect.

param

[optional] the fitted parameters.

data

[optional] the data set.

Value

a matrix containing the residuals relative to each sample (in rows) and each endogenous variable (in column).

Details

If argument p or data is not null, then the small sample size correction is recomputed to correct the residuals.

See Also

sCorrect to obtain lm2, gls2, lme2, or lvmfit2 objects.

Examples

# NOT RUN {
## simulate data
set.seed(10)
m <- lvm(Y1~eta,Y2~eta,Y3~eta)
latent(m) <- ~eta
d <- sim(m,20, latent = FALSE)

## standard linear model
e.lm <- lm(Y1~Y2, data = d)
sCorrect(e.lm) <- TRUE

sigma(e.lm)^2
mean(residuals(e.lm)^2)
mean(residuals2(e.lm)^2)

## latent variable model
e.lvm <- estimate(m, data = d)
sCorrect(e.lvm) <- TRUE
mean(residuals2(e.lvm)^2)

# }