EcoEnsemble (version 1.1.2)

EnsemblePrior-class: A class to hold the priors for the ensemble model.

Description

An EnsemblePrior object encapsulates the prior information for the ensemble model.

Slots

d

A numeric specifying the number of variables of interest in the ensemble.

ind_st_params

A list containing a prior specification for the individual short-term discrepancies \(z_k^{(t)}\). See details of the EnsemblePrior() constructor.

ind_lt_params

A list containing a prior specification for the individual long-term discrepancies \(\gamma_k\). See details of the EnsemblePrior() constructor.

sha_st_params

A list containing a prior specification for the shared short-term discrepancies \(\eta^{(t)}\). See details of the EnsemblePrior() constructor.

sha_lt_params

A numeric containing the standard deviations for the normal prior used on the shared short-term discrepancy \(\mu\). If a single value is supplied, this is repeated for each variable

truth_params

A list containing a prior specification for the processes on the truth \(y^{(t)}\). See details of the EnsemblePrior() constructor. The default value is TruthPrior(d).

priors_stan_input

A list containing the prior data in the correct form to fit the model in Stan. This information is automatically generated by the constructor.

References

Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.21.2. https://mc-stan.org

Lewandowski, Daniel, Dorota Kurowicka, and Harry Joe. 2009. “Generating Random Correlation Matrices Based on Vines and Extended Onion Method.” Journal of Multivariate Analysis 100: 1989–2001.