residuals.gimme: GIMME Residuals.

In gimme: Group Iterative Multiple Model Estimation

GIMME Residuals.

Description

This function calculates the unstandardized and standardized residuals of a fitted gimme model.

Usage

residuals.gimme(x, lag)

Arguments

x	A fitted gimme object.
lag	The number of lags tested in the Box-Pierce and Ljung-Box tests of the residuals. If user does not specify a value, default is the smaller of 10 or the length of the time series divided by 5.

Value

List of four lists of data frames:

residuals

List of the unstandardized residuals per subject.

standardized.residuals

List of the standardized residuals per subject.

Box.Pierce.test

List of the results of the Box-Pierce test for each subject's residuals.

Ljung.Box.test

List of the results of the Ljung-Box test for each subject's residuals.

Author(s)

Sebastian Castro-Alvarez

Examples

 ## Not run: 
paths <- 'V2 ~ V1
          V3 ~ V4lag'

fit <- gimmeSEM(data     = simData,
                out      = "C:/simData_out",
                subgroup = TRUE,
                paths    = paths)

residuals <- residuals.gimme(fit)
residuals <- residuals.gimme(fit, lag = 5)
 
## End(Not run)

gimme documentation built on Aug. 30, 2023, 1:08 a.m.