glm {math} R Documentation

Fitting Generalized Linear Models

Description


glm is used to fit generalized linear models, specified by
giving a symbolic description of the linear predictor and
a description of the error distribution.

Usage

glm(formula, family, data);

Arguments

formula

an object of class "formula" (Or one that can be coerced to that class): a symbolic description Of the model To be fitted. The details Of model specification are given under 'Details’. [as FormulaExpression]

family

a description of the error distribution and link function to be used in the model. For glm this can be a character string naming a family function, a family function or the result of a call to a family function. For glm.fit only the third option is supported. (See family for details of family functions.)

data

an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically the environment from which glm is called.

env

[as Environment]

Details

Authors

sciBASIC.NET

Value

this function returns data object of type any kind.

clr value class

Examples


[Package math version 5.0.1.2389 Index]