MultiRobust (version 1.0.5)

glm.work: Define a Generalized Linear Model

Description

Define a generalized linear model. All the arguments in glm are allowed except for data. Supported types of family include gaussian, binomial, poisson, Gamma and inverse.gaussian.

Usage

glm.work(formula, family = gaussian, weights = NULL, ...)

Arguments

formula

The formula of the model to be fitted.

family

The distribution of the response variable and the link function to be used in the model.

weights

The prior weights to be used in the model.

...

Addition arguments for the function glm.

See Also

glm.

Examples

# NOT RUN {
# A logistic regression with response R and covariates X1 and X2
mis1 <- glm.work(formula = R ~ X1 + X2, family = binomial(link = logit))
# }