glm.cmp-raw: Raw Interface to COM-Poisson and Zero-Inflated COM-Poisson...
In lotze/COMPoissonReg: Conway-Maxwell Poisson (COM-Poisson) Regression

glm.cmp-raw

R Documentation

Raw Interface to COM-Poisson and Zero-Inflated COM-Poisson Regression

Description

Fit COM-Poisson and Zero-Inflated COM-Poisson regression using a "raw" interface which bypasses the formula-driven interface of glm.cmp.

Usage

glm.cmp.raw(y, X, S, offset = NULL, init = NULL, fixed = NULL, control = NULL)

glm.zicmp.raw(
  y,
  X,
  S,
  W,
  offset = NULL,
  init = NULL,
  fixed = NULL,
  control = NULL
)

Arguments

`y`	A vector of counts which represent the response .
`X`	Design matrix for the 'lambda' regression.
`S`	Design matrix for the 'nu' regression.
`offset`	A data structure that specifies offsets. See the helper function get.offset.
`init`	A data structure that specifies initial values. See the helper function get.init.
`fixed`	A data structure that specifies which coefficients should remain fixed in the maximum likelihood procedure. See the helper function get.fixed.
`control`	A control data structure. See the helper function get.control.
`W`	Design matrix for the 'p' regression.