likelihoodIidNormal

predicted

observed

standard deviation of the i.i.d. normal likelihood

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

likelihoodIidNormal: Normal / Gaussian Likelihood function

Description

Usage

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