getBlockSettings

blockUpdate

Transforms the original settings in settings used in the 
model runs

General-purpose MCMC and SMC samplers, as well as plot and diagnostic functions for Bayesian statistics, with a particular focus on calibrating complex system models. Implemented samplers include various Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential Monte Carlo (SMC) particle filter.

Florian Hartig

getBlockSettings: getblockSettings

Description

Usage

Arguments

Value