tempo_dic: Deviance Information Criterion '('DIC')'

In vlandau/tempo: Temporally-Explicit Models for Phenological Observations

Description

Calculate the DIC score for a model using the output from tempo_mcmc()

Usage

tempo_dic(draws, parallelize = TRUE, n_cores = NULL)

Arguments

draws	The output from tempo_mcmc().
parallelize	Boolean, should the function be run in parallel. Defaults to TRUE.
n_cores	Integer, number of cores to use for parallel processing. Defaults to NULL. If parallelize = TRUE, and n_cores = NULL (the defaults), tempo_dic() will use parallel::detectCores() - 1 as the number of cores.

Value

The DIC score with attributes for covariates included in the model, and which (if any) regression coefficients were modeled with random effects, and the effective number of parameters (p_d).

vlandau/tempo documentation built on March 18, 2020, 12:04 a.m.