Perform Bayesian Inference for MetaRVM Parameters

This function calibrates specified MetaRVM model parameters against ground truth observational data using a Bayesian framework provided by the RobustCalibration package.

Usage

meta_infer(config, params_to_infer, ground_truth, mcmc_settings)

Arguments

config

A MetaRVMConfig object or a path to a YAML configuration file.

params_to_infer

A named list defining the prior distributions for the parameters to be estimated.

ground_truth

A data.table containing the observational data. Must include date, age, disease_state, and value columns for age-specific calibration.

mcmc_settings

A list of settings for the MCMC sampler, such as iter and burnin.

Value

An object from rcalibration containing the MCMC posterior samples.