QUALYPSOSS              QUALYPSOSS
QUALYPSOSS.ANOVA.step1
                        QUALYPSOSS.ANOVA.step1
QUALYPSOSS.ANOVA.step2
                        QUALYPSOSS.ANOVA.step2
QUALYPSOSS.ANOVA.step3
                        QUALYPSOSS.ANOVA.step3
QUALYPSOSS.check.option
                        QUALYPSOSS.check.option
QUALYPSOSS.get.RK       QUALYPSOSS.get.RK
QUALYPSOSS.process.scenario
                        QUALYPSOSS.process.scenario
Y                       climate projections of mean winter (DJF)
                        temperature over the SREX region CEU simulated
                        by 20 combinations of CMIP5 GCMs and RCMs for
                        the period 1971-2099
compute.change.variable
                        Compute change variables
extract.climate.response
                        Extract climate response for one time series z
formatQUALYPSSoutput    formatQUALYPSSoutput
get.det.AR1             get.det.AR1 return the determinant of the
                        matrix provided by 'get.matrix.AR1'
get.det.KMS             get.det.KMS return the determinant of the KMS
                        matrix
get.logdet.W            get.logdet.W Return the logarithm of the
                        determinant of the matrix W
get.matrix.AR1          get.matrix.AR1 return the matrix of AR(1)
                        correlations corresponding to the entire
                        ensemble
get.matrix.AR1.inv      get.matrix.AR1.inv return the inverse matrix of
                        AR(1) correlations corresponding to the entire
                        ensemble
get.matrix.KMS          get.matrix.KMS Return the square
                        Kac-Murdoch-Szego matrix for a rho correlation
                        and n lines/colums
get.matrix.KMSinv       get.matrix.KMSinv return the inverse of the
                        square Kac-Murdock-Szego matrix for a rho
                        correlation and n lines/colums
get.matrix.W            get.matrix.W return the matrix of W = V x C x V
                        for the treatment of heteroscedastic and AR(1)
                        errors see Wang (2011) section 5.3 for further
                        details
get.matrix.Winv         get.matrix.Winv return the inverse matrix of W
                        = V x C x V for the treatment of
                        heteroscedastic and AR(1) errors see Wang
                        (2011) section 5.3 for further details
get.matrix.hetero       get.matrix.hetero returns the matrix of weights
                        for the computation of heteroscedastic errors
                        corresponding to the entire ensemble
get.matrix.hetero.inv   get.matrix.hetero.inv returns the inverse of
                        the matrix of weights for the computation of
                        heteroscedastic errors corresponding to the
                        entire ensemble
get.spectral.decomp     get.spectral.decomp
get.target.logdensity.rho
                        get.target.density.rho Return the log-density
                        of the full conditional distribution for the
                        parameter rho
get.vec.weight.hetero   get.vec.weight.hetero returns the vector of
                        weights for the computation of heteroscedastic
                        errors corresponding to one simulation chain
get.yMCMC               get.yMCMC
plotQUALYPSOSSClimateChangeResponse
                        plotQUALYPSOSSClimateChangeResponse
plotQUALYPSOSSClimateResponse
                        plotQUALYPSOSSClimateResponse
plotQUALYPSOSSTotalVarianceDecomposition
                        plotQUALYPSOSSTotalVarianceDecomposition
plotQUALYPSOSSeffect    plotQUALYPSOSSeffect
plotQUALYPSOSSgrandmean
                        plotQUALYPSOSSgrandmean
predGlobTemp            Annual average of global temperatures simulated
                        by different CMIP5 GCMs at the planetary scale
                        for the period 1971-2099
predGlobTempUnique      Equally spaced vector of simulated global
                        temperatures over the period 1971-2099 for the
                        RCP8.5
predTime                Years 1971-2099 repeated for the 20 scenarios
predTimeUnique          Equally spaced vector of years over the period
                        1971-2099
reproducing.kernel      reproducing.kernel
scenAvail               scenAvail gives the GCM and RCM which have been
                        used for the 20 climate projections
vecYears                vecYears gives the years corr. to Y, i.e. from
                        1971 to 2099
