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qualypsoss

Partitioning uncertainty in climate projections using smoothing splines

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Install

install.packages('qualypsoss')

Monthly Downloads

15

Version

1.1.1

License

GPL-3

Maintainer

Guillaume Evin

Last Published

August 31st, 2022

Functions in qualypsoss (1.1.1)

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.det.KMS

get.det.KMS return the determinant of the KMS matrix
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.logdet.W

get.logdet.W Return the logarithm of the determinant of the matrix W
get.det.AR1

get.det.AR1 return the determinant of the matrix provided by get.matrix.AR1
formatQUALYPSSoutput

formatQUALYPSSoutput
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.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.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.vec.weight.hetero

get.vec.weight.hetero returns the vector of weights for the computation of heteroscedastic errors corresponding to one simulation chain
plotQUALYPSOSSeffect

plotQUALYPSOSSeffect
plotQUALYPSOSSTotalVarianceDecomposition

plotQUALYPSOSSTotalVarianceDecomposition
plotQUALYPSOSSClimateResponse

plotQUALYPSOSSClimateResponse
plotQUALYPSOSSClimateChangeResponse

plotQUALYPSOSSClimateChangeResponse
get.matrix.hetero

get.matrix.hetero returns the matrix of weights for the computation of heteroscedastic errors corresponding to the entire ensemble
get.yMCMC

get.yMCMC
reproducing.kernel

reproducing.kernel
predTimeUnique

Equally spaced vector of years over the period 1971-2099
get.spectral.decomp

get.spectral.decomp
predGlobTempUnique

Equally spaced vector of simulated global temperatures over the period 1971-2099 for the RCP8.5
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
get.target.logdensity.rho

get.target.density.rho Return the log-density of the full conditional distribution for the parameter rho
predTime

Years 1971-2099 repeated for the 20 scenarios
plotQUALYPSOSSgrandmean

plotQUALYPSOSSgrandmean
predGlobTemp

Annual average of global temperatures simulated by different CMIP5 GCMs at the planetary scale for the period 1971-2099
QUALYPSOSS

QUALYPSOSS
QUALYPSOSS.check.option

QUALYPSOSS.check.option
QUALYPSOSS.process.scenario

QUALYPSOSS.process.scenario
extract.climate.response

Extract climate response for one time series z
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
QUALYPSOSS.ANOVA.step2

QUALYPSOSS.ANOVA.step2
QUALYPSOSS.ANOVA.step1

QUALYPSOSS.ANOVA.step1
QUALYPSOSS.get.RK

QUALYPSOSS.get.RK
compute.change.variable

Compute change variables
QUALYPSOSS.ANOVA.step3

QUALYPSOSS.ANOVA.step3