getConditionalMLE: Loop over indices and solve condiiton MLE

View source: R/HurdleStructure.R

getConditionalMLER Documentation

Loop over indices and solve condiiton MLE

Description

Loop over indices and solve condiiton MLE

Usage

getConditionalMLE(hs, using = "gibbs", testGrad = FALSE, engine = "R", ...)

Arguments

hs

HurdleStructure

using

'gibbs' or 'sample'

testGrad

Should we check the gradient for convergence.

engine

character. If 'R' then the R likelihood/gradient will be used. Else C++.

...

passed to optim

Value

list of length two giving parameter values and standard errors. j is the index of the response, i is the index of the coefficient.


amcdavid/HurdleNormal documentation built on May 14, 2022, 11:12 p.m.