INLA.climate.test-package: Full Bayesian analysis of radiative forcing climate model

In eirikmn/INLA.climate.test: Full Bayesian analysis of radiative forcing climate model

Description

Full Bayesian analysis of global mean surface temperature model that includes temperature response to radiative forcing under scaling assumption.

Details

This package was not yet installed at build time.

Index: This package was not yet installed at build time.

Author(s)

@R c(person("Eirik", "Myrvoll-Nilsen", email = "[e-mail]", role = c("cre", "aut")))

Maintainer: Eirik Myrvoll-Nilsen <[e-mail]>

References

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.

See Also

inla

Examples

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 )
  print(result.climate$time)
  print(result.climate$hyperparam$means)
  summary(result.climate)
  plot(result.climate)
}

eirikmn/INLA.climate.test documentation built on Feb. 2, 2020, 9:17 a.m.