# isREML: Check characteristics of models In lme4: Linear Mixed-Effects Models using 'Eigen' and S4

 isREML R Documentation

## Check characteristics of models

### Description

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`.

a logical value

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)
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)))
```

lme4 documentation built on July 8, 2022, 9:05 a.m.