INLA.climate-package | R Documentation |
Full Bayesian analysis of global mean surface temperature model that includes temperature response to radiative forcing under scaling assumption.
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@R c(person("Eirik", "Myrvoll-Nilsen", email = "eirikmn91@gmail.com", role = c("cre", "aut")))
Maintainer: Eirik Myrvoll-Nilsen <eirikmn91@gmail.com>
Rue, H., Martino, S. and Chopin, N. (2009) Approximate Bayesian inference for latent Gaussian models using integrated nested Laplace approximations (with discussion). Journal of the Royal Statistical Society, Series B.
inla
if(require("INLA",quietly=TRUE)){ data(GISS_E2_R) m <- 4 Qco2 <- 3.8 compute.mu <- "full" result.climate <- inla.climate(data = GISS_E2_R$Temperature, forcing = GISS_E2_R$Forcing, Qco2 = Qco2, compute.mu = compute.mu, m = m ) summary.inla.climate summary(result.climate) print(result.climate$time) print(result.climate$hyperparam$means) plot(result.climate) }
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