cmp_fit: Maximize the COM-Poisson log-likelihood function
In JrEduardo/cmpreg: Reparametrized COM-Poisson Regression Models

Description Usage Arguments Value Author(s)

Maximize the COM-Poisson log-likelihood function

1
2
3

cmp_fit(X, Z, y, start = NULL, method = c("BFGS", "Nelder-Mead", "CG",
  "L-BFGS-B", "SANN"), lower = -Inf, upper = Inf, hessian = TRUE,
  control = list())

`X`	Design matrix related to the (approximate) mean parameter μ = \exp(X β).
`Z`	Design matrix related to the dispersion parameter ν = \exp(Z γ).
`y`	Vector of observed count data.
`start`	Initial parameters
`method`	Argument passed to `optim(...)`.
`lower`	Argument passed to `optim(...)`.
`upper`	Argument passed to `optim(...)`.
`hessian`	Argument passed to `optim(...)`.
`control`	Argument passed to `optim(...)`.