estimate_llh: Estimate the Log-Likelihood for a given parameter combination

In jaatha: Simulation-Based Maximum Likelihood Parameter Estimation

Estimate the Log-Likelihood for a given parameter combination

Description

This function estimates the Log-likelihood value for a given parameter combination. It conducts a number of simulations for the parameter combination, averages the summary statistics to esimate their expected values, and uses them to calculate the likelihood. For a resonable number of simulation, this is more precise than the glm fitting used in the main algorithm.

Usage

estimate_llh(
  model,
  data,
  parameter,
  sim = 100,
  cores = 1,
  normalized = FALSE,
  sim_data = NULL
)

Arguments

model	The model used for the estimation. See create_jaatha_model.
data	The data used for the estimation. See create_jaatha_data.
parameter	The parameter combination for which the loglikelihood will be estimated.
sim	The number of simulations that will be used for averaging the expectation values of the summary statistics.
cores	The number of CPU cores that will be used for the simulations. The relies on the parallel package, and consequently only one core is supported on Windows.
normalized	For internal use. Indicates whether the parameter combination is normalized to [0, 1]-scale, or on its natural scale.
sim_data	For internal use. Use existing simulations.

jaatha documentation built on March 31, 2023, 11:37 p.m.