QUALYPSOSS.ANOVA.step1: QUALYPSOSS.ANOVA.step1

In qualypsoss: Uncertainties of Climate Projections using Smoothing Splines

QUALYPSOSS.ANOVA.step1

Description

SSANOVA decomposition of the ensemble of climate change responses using a Bayesian approach. The different fields of the returned list contain n samples from the posterior distributions of the different inferred quantities. In this first step, the residual errors are assumed iid

Usage

QUALYPSOSS.ANOVA.step1(lOpt, lDim, yMCMC, RK)

Arguments

lOpt	list of options, returned by QUALYPSOSS.check.option
lDim	list of dimensions
yMCMC	array nMCMC x nFull of climate change responses
RK	large object containing the reproducing kernels, returned by QUALYPSOSS.get.RK

Value

list containing diverse information aboutwith the following fields:

• g.MCMC: Smooth effects g: array n x nFull x K where nFull is the number of possible combinations of predictors (discrete AND continuous),

• nu.MCMC: Smooth effects nu, a list with matrices of eigen vectors

• lambda.MCMC: Smoothing parameters: matrix n x K,

• deltaRV.MCMC: Residual variance: vector of length n,

• g.hat: Smooth effects estimates: matrix nFull x K where

• nu.hat: Smooth effects estimates: a list with estimates of eigen vectors,

• lambda.hat: Smoothing parameters estimates: vector of length K,

• deltaRV.hat: Residual variance estimate.

• logLK: vector of log-likelihood values of the draws

• logPost: vector of log-posterior values of the draws

• Schwarz: Schwarz criteria

• BIC: BIC criteria

Author(s)

Guillaume Evin

qualypsoss documentation built on Aug. 31, 2022, 5:09 p.m.