log.lik: Log-likelihood function

In wrbrooks/latent: Estimate the parameters of a Poisson latent variable model with left-censoring

Description

Log-likelihood of the data under a Poisson distribution with log-linear model for the mean

Usage

## S3 method for class 'lik'
log(data, params, event)

Arguments

data	matrix of counts, with rows equal to the number of observations and columns equal to the number of categories
params	vector of the alpha, beta, and gamma parameters
event	vector of labels with one entry per row of data, where each entry identifies the event to which the corresponding row of data belongs

Value

total log-likelihood of the data under the current parameter values

wrbrooks/latent documentation built on May 4, 2019, 11:59 a.m.