log_lambda_log_likelihood: compute the likelihood for nu parameters

In hierarchicalDS: Functions to Perform Hierarchical Analysis of Distance Sampling Data

Description

compute the likelihood for nu parameters

Usage

log_lambda_log_likelihood(Log.lambda, DM, Beta, Eta = 0, SD, N, Sampled,
  Area)

Arguments

Log.lambda	Log of poisson intensities for total areas sampled in each sampled strata
DM	the design matrix
Beta	linear predictor parameters for the log of abundance intensity
Eta	a vector of spatial random effects
SD	standard deviation of the overdispersion process
N	a vector giving the current iteration's number of groups in the area
Sampled	Index for which cells were actually sampled
Area	Total area sampled in each sampled cell

Value

the log likelihood associated with the data and the current set of parameters

Author(s)

Paul B. Conn

hierarchicalDS documentation built on July 3, 2019, 1:07 a.m.