batchMarkHmmLL {extBatchMarking}

Log-likelihood function for marked model.

Description

This helps users check whether the function can be optimized at the given initial values before optimizing using batchMarkOptim. After a quick check, if NAN or Inf is returned, the initial values should be revisited.

Usage

batchMarkHmmLL(
  par,
  data,
  choiceModel = c("model1", "model2", "model3", "model4"),
  cores
)

Arguments

par

Initial values for the parameters to be optimized over.

data

A capture-recapture data matrix or data frame.

choiceModel

This chooses among different models and allows for model selection

cores

The number of cores for parallelization.

Value

Negative Log-likelihood value of the likelihood function

Examples

library(extBatchMarking)
# Initial parameter
theta <- c(0, -1)
res1  <- batchMarkHmmLL(par        = theta,
                       data        = WeatherLoach,
                       choiceModel = "model4",
                       cores       = 1)
res1