poisreg: Poisson regression

In micsr: Microeconometrics with R

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"),
  ...
)

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

Value

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

Examples

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

micsr documentation built on May 29, 2024, 7:32 a.m.