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`

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