isREML

0th

Percentile

Check characteristics of models

Check characteristics of models: whether a model fit corresponds to a linear (LMM), generalized linear (GLMM), or nonlinear (NLMM) mixed model, and whether a linear mixed model has been fitted by REML or not (isREML(x) is always FALSE for GLMMs and NLMMs).

Usage
isREML(x, ...)

isLMM(x, ...)

isNLMM(x, ...)

isGLMM(x, ...)

Arguments
x

a fitted model.

...

additional, optional arguments. (None are used in the merMod methods)

Details

These are generic functions. At present the only methods are for mixed-effects models of class '>merMod.

Value

a logical value

See Also

getME

Aliases
  • isGLMM
  • isLMM
  • isNLMM
  • isREML
  • isGLMM.merMod
  • isLMM.merMod
  • isNLMM.merMod
  • isREML.merMod
Examples
# NOT RUN {
fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
gm1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd),
              data = cbpp, family = binomial)
nm1 <- nlmer(circumference ~ SSlogis(age, Asym, xmid, scal) ~ Asym|Tree,
             Orange, start = c(Asym = 200, xmid = 725, scal = 350))

isLMM(fm1)
isGLMM(gm1)
## check all :
is.MM <- function(x) c(LMM = isLMM(x), GLMM= isGLMM(x), NLMM= isNLMM(x))
stopifnot(cbind(is.MM(fm1), is.MM(gm1), is.MM(nm1))
	  == diag(rep(TRUE,3)))
# }
Documentation reproduced from package lme4, version 1.1-21, License: GPL (>= 2)

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