simll: Simulation Log Likelihood class

In sbim: Simulation-Based Inference using a Metamodel for Log-Likelihood Estimator

Simulation Log Likelihood class

Description

Simulation Log Likelihood class

Usage

simll(ll, params = NULL, weights = NULL)

Arguments

ll	A matrix of simulation log likelihoods. The (i,m)-th entry is given by the simulation log likelihood for y_i obtained by simulating X at theta_m (e.g., the log density of y_i given X).
params	A matrix or a vector of parameter values. If a matrix, the m-th row gives the parameter vector theta_m. If theta is one dimensional, 'params' is can be a numeric vector or a matrix with one column. 'params' can be omitted if simulation log likelihoods are obtained at a single one parameter value.
weights	A numeric vector of weights, inversely proportional to the variance of simulation log likelihoods (optional)

Value

A class 'sll' object

sbim documentation built on April 4, 2025, 5:59 a.m.