flexcm_fit: Maximize log-likelihood functions
In jreduardo/flexcm: Flexible Models for Dispersed Count Data

Description Usage Arguments Value Author(s)

Maximize log-likelihood functions

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

`llfun`	Function thar returns the negative of the log-likelihood given `params`, `X` and `y` arguments for some count model.
`X`	Design matrix.
`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(...)`.