buildGLMMadaptive | R Documentation |

`buildmer`

to fit generalized linear mixed models using `mixed_model`

from package `GLMMadaptive`

Use `buildmer`

to fit generalized linear mixed models using `mixed_model`

from package `GLMMadaptive`

buildGLMMadaptive( formula, data = NULL, family, buildmerControl = buildmerControl() )

`formula` |
A formula specifying both fixed and random effects using |

`data` |
See the general documentation under |

`family` |
See the general documentation under |

`buildmerControl` |
Control arguments for buildmer — see the general documentation under |

The fixed and random effects are to be passed as a single formula in * lme4 format*. This is internally split up into the appropriate

`fixed`

and `random`

parts.
As GLMMadaptive can only fit models with a single random-effect grouping factor, having multiple *different* grouping factors will raise an error.

If multiple *identical* random-effect grouping factors are provided, they will be concatenated into a single grouping factor using the double-bar syntax, causing GLMMadaptive to assume a diagonal random-effects covariance matrix. In other words, `(1|g) + (0+x|g)`

will correctly be treated as diagonal, but note the caveat: `(a|g) + (b|g)`

will also be treated as fully diagonal, even if `a`

and `b`

are factors which might still have had correlations between their individual levels! This is a limitation of both GLMMadaptive and buildmer's approach to handling double bars.

`buildmer-package`

if (requireNamespace('GLMMadaptive')) { # nonsensical model given these data model <- buildGLMMadaptive(stress ~ vowel + (vowel|participant), family=binomial,data=vowels,buildmerControl=list(args=list(nAGQ=1))) # or with double-bar syntax for a diagonal r.e. cov. matrix model <- buildGLMMadaptive(stress ~ vowel + (vowel||participant), family=binomial,data=vowels,buildmerControl=list(args=list(nAGQ=1))) }

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