loglikhd: Negative log likelihood for a dataset of interval-censored...

In coarseDataTools: Analysis of Coarsely Observed Data

Description

Negative log likelihood for a dataset of interval-censored data, given a distribution and its parameters.

Usage

loglikhd(pars, dat, dist)

Arguments

pars	vector of the transformed (estimation scale) parameters
dat	a dataset, as in dic.fit
dist	a distribution, as in dic.fit

Details

This package uses two versions of each parameter, the estimation scale, or the scale that is used for numerical optimization, and the reporting scale, or the natural scale of the parameters. For all likelihood calculations, this loglikhd function expects parameters that are on the estimation scale, i.e. have range (-∞, ∞). Specifically, this translates into all parameters for all distributions being log-transformed except for the meanlog (i.e. "par1") for the log-normal distribution.

Value

negative log-likelihood for a given dataset, parameters, and distribution.

coarseDataTools documentation built on Dec. 11, 2021, 9:29 a.m.