## S3 method for class 'merMod':
residuals(object,
type = if (isGLMM(object)) "deviance" else "response",
scaled = FALSE, ...) ## S3 method for class 'lmResp':
residuals(object,
type = c("working", "response", "deviance", "pearson", "partial"),
...)
## S3 method for class 'glmResp':
residuals(object,
type = c("deviance", "pearson", "working", "response", "partial"),
...)
merMod
) objectlmerMod
andglmerMod
objects: they try to
mimicresiduals.lm
andresiduals.glm
respectively. In particular,
the defaulttype
is"response"
, i.e.
(observed-fitted) forlmerMod
objects vs."deviance"
forglmerMod
objects.type="partial"
is not yet implemented for either
type."pearson"
residuals differs betweenresiduals.lm
andresiduals.lme
. The former returns values
scaled by the square root of user-specified weights (if
any), butnotby the residual standard deviation,
while the latter returns values scaled by the estimated
standard deviation (which will include the effects of any
variance structure specified in theweights
argument). To replicatelme
behaviour, usetype="pearson"
,scaled=TRUE
.