qualypsoss (version 1.1.1)

QUALYPSOSS.ANOVA.step3: QUALYPSOSS.ANOVA.step3

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.step3(
  lOpt,
  lDim,
  yMCMC,
  RK,
  g.step1,
  lambda.step1,
  rho.step2,
  deltaRV.step2
)

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),

• g.hat: Smooth effects estimates: matrix nFull x K where nFull is the number of possible combinations of predictors (discrete AND continuous),

• Schwarz: Schwarz criteria

• BIC: BIC criteria

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

g.step1

smooth effect estimates provided by QUALYPSOSS.ANOVA.step1

lambda.step1

smooth parameter estimates provided by QUALYPSOSS.ANOVA.step1

rho.step2

lag-1 autocorrelation estimate provided by QUALYPSOSS.ANOVA.step2

deltaRV.step2

residual variance estimate provided by QUALYPSOSS.ANOVA.step2

Author

Guillaume Evin