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).

isREML(x, ...)

  isLMM(x, ...)

  isNLMM(x, ...)

  isGLMM(x, ...)

Arguments

x

a fitted model.

...

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

Value

a logical value

Details

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

See also

getME

Examples

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)
#> [1] TRUE
isGLMM(gm1)
#> [1] TRUE
## 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)))