micsr (version 0.1-1)

poisreg: Poisson regression

Description

A unified interface to perform Poisson, Negbin and log-normal Poisson models

Usage

poisreg(
  formula,
  data,
  weights,
  subset,
  na.action,
  offset,
  start = NULL,
  mixing = c("none", "gamma", "lognorm"),
  method = c("bfgs", "newton"),
  vlink = c("nb1", "nb2"),
  ...
)

Value

an object of class c("poisreg", "micsr"), see micsr::micsr for further details.

Arguments

formula

a symbolic description of the model, (for the count component and for the selection equation)

data

a data frame

subset, weights, na.action, offset

see stats::lm,

start

a vector of starting values

mixing

the mixing distribution, one of "none", "gamma" and "lognorm"

method

the optimization method, one of "newton" and "bfgs"

vlink

one of "nb1" and "nb2"

...

further arguments

Examples

nb1 <- poisreg(trips ~ workschl + size + dist + smsa + fulltime + distnod +
               realinc + weekend + car, trips, mixing = "gamma", vlink = "nb1")