QUALYPSOSS.ANOVA.step2: QUALYPSOSS.ANOVA.step2

In qualypsoss: Uncertainties of Climate Projections using Smoothing Splines

QUALYPSOSS.ANOVA.step2

Description

SSANOVA decomposition of the ensemble of climate change responses using a Bayesian approach. In this second step, we infer deltaRV (variance of the residual errors) and phi (autocorrelation lag-1) considering hetero-autocorrelated residual errors, conditionally to smooth effects inferred in QUALYPSOSS.ANOVA.step1

Usage

QUALYPSOSS.ANOVA.step2(lOpt, lDim, yMCMC, gSum.step1, deltaRV.step1)

Arguments

lOpt	list of options, returned by QUALYPSOSS.check.option
lDim	list of dimensions
yMCMC	array nMCMC x nFull of climate change responses
gSum.step1	sum of smooth effect estimates provided by QUALYPSOSS.ANOVA.step1
deltaRV.step1	residual variance estimate provided by QUALYPSOSS.ANOVA.step1

Value

list containing diverse information aboutwith the following fields:

• rho.MCMC: autocorrelation parameter of the AR(1) process: vector of length n

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

• rho.hat: autocorrelation parameter estimate of the AR(1) process,

• deltaRV.hat: Residual variance estimate.

Author(s)

Guillaume Evin

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