residualDiagnostics.lme: residualDiagnostics methods for lme objects

In multilevelTools: Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

Description

residualDiagnostics methods for lme objects

Usage

## S3 method for class 'lme'
residualDiagnostics(
  object,
  ev.perc = 0.001,
  robust = FALSE,
  distr = "normal",
  standardized = TRUE,
  ...
)

Arguments

object	An object with class lme.
ev.perc	The extreme value percentile to use. Defaults to .001.
robust	A logical value, whether to use robust estimates or not. Defaults to FALSE.
distr	A character string specifying the assumed distribution. Currently “normal”, but future options may be supported in the future.
standardized	A logical value whether to use standardized pearson residual values or not. Defaults to TRUE.
...	Additional arguments. Not currently used.

Value

A logical (is.residualDiagnostics) or a residualDiagnostics object (list) for as.residualDiagnostics and residualDiagnostics.

Examples

library(JWileymisc)
sleep[1,1] <- NA
m <- nlme::lme(extra ~ group, data = sleep, random = ~ 1 | ID,
  na.action = na.omit)

 residualDiagnostics(m)$Residuals

m <- nlme::lme(hp ~ mpg, data = mtcars, random = ~ 1 | cyl,
  na.action = na.omit)
residualDiagnostics(m)$Residuals

rm(m, sleep)

multilevelTools documentation built on March 13, 2020, 2:07 a.m.