R: Fit Log-Linear Models by Iterative Proportional Scaling -...

loglm1 {MASS} | R Documentation

## Fit Log-Linear Models by Iterative Proportional Scaling – Internal function

### Description

`loglm1` is an internal function used by `loglm`. It is a generic function dispatching on the `data` argument.

### Usage

    loglm1(formula, data, ...)

    ## S3 method for class 'xtabs'
    loglm1(formula, data, ...)

    ## S3 method for class 'data.frame'
    loglm1(formula, data, ...)

    ## Default S3 method:
    loglm1(formula, data, start = rep(1, length(data)), fitted = FALSE,
           keep.frequencies = fitted, param = TRUE, eps = 1/10,
           iter = 40, print = FALSE, ...)

### Arguments

`formula` | A linear model formula specifying the log-linear model. See `loglm` for its interpretation.
`data` | Numeric array or data frame. In the first case it specifies the array of frequencies; in then second it provides the data frame from which the variables occurring in the formula are preferentially obtained in the usual way. This argument may also be the result of a call to `xtabs`.
`start, param, eps, iter, print` | Arguments passed to `loglin`.
`fitted` | logical: should the fitted values be returned?
`keep.frequencies` | If `TRUE` specifies that the (possibly constructed) array of frequencies is to be retained as part of the fitted model object. The default action is to use the same value as that used for `fitted`.
`...` | arguments passed to the default method.

### Value

An object of class `"loglm"`.

### See Also

`loglm`, `loglin`

[Package MASS version 7.3-35 Index]