loglm1: Fit Log-Linear Models by Iterative Proportional Scaling -...

In MASS: Support Functions and Datasets for Venables and Ripley's MASS

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 (or list or environment). 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

MASS documentation built on June 22, 2024, 10:42 a.m.