Initialize.lmeStruct {nlme} | R Documentation |

## Initialize an lmeStruct Object

### Description

The individual linear mixed-effects model components of the
`lmeStruct`

list are initialized.

### Usage

## S3 method for class 'lmeStruct':
Initialize(object, data, groups, conLin, control, ...)

### Arguments

`object` |
an object inheriting from class `lmeStruct` ,
representing a list of linear mixed-effects model components, such as
`reStruct` , `corStruct` , and `varFunc` objects. |

`data` |
a data frame in which to evaluate the variables defined in
`formula(object)` . |

`groups` |
a data frame with the grouping factors corresponding to
the lme model associated with `object` as columns, sorted from
innermost to outermost grouping level. |

`conLin` |
an optional condensed linear model object, consisting of
a list with components `"Xy"` , corresponding to a regression
matrix (`X` ) combined with a response vector (`y` ), and
`"logLik"` , corresponding to the log-likelihood of the
underlying lme model. Defaults to `attr(object, "conLin")` . |

`control` |
an optional list with control parameters for the
initialization and optimization algorithms used in
`lme` . Defaults to `list(niterEM=20, gradHess=TRUE)` ,
implying that 20 EM iterations are to be used in the derivation of
initial estimates for the coefficients of the `reStruct`
component of `object` and, if possible, numerical gradient
vectors and Hessian matrices for the log-likelihood function are to
be used in the optimization algorithm. |

`...` |
some methods for this generic require additional
arguments. None are used in this method. |

### Value

an `lmeStruct`

object similar to `object`

, but with
initialized model components.

### Author(s)

Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu

### See Also

`lme`

, `Initialize.reStruct`

,
`Initialize.corStruct`

, `Initialize.varFunc`

[Package

*nlme* version 3.1-66

Index]