WACS: Multivariate Weather-State Approach Conditionally Skew-Normal Generator
Version 1.0

Multivariate weather generator for daily climate variables based on weather-states using a Markov chain for modeling the succession of weather states. Conditionally to the weather states, the multivariate variables are modeled using the family of Complete Skew-Normal distributions. Parameters are estimated on measured series. Data must include the variable 'Rain' and can accept as many other variables as desired.

Browse man pages Browse package API and functions Browse package files

AuthorDenis Allard [aut, cre], Ronan Trepos [aut]
Date of publication2016-02-25 18:03:23
MaintainerDenis Allard <allard@avignon.inra.fr>
LicenseGPL (>= 2.0)
Version1.0
URL http://informatique-mia.inra.fr/biosp/allard#WACS
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("WACS")

Man pages

ClimateSeries: Synthetic climate series of a french town between 1995 and...
WACS: WACS: Multivariate Weather-state Approach Conditionally...
WACScompare: Performs comparisons between two WACS data structures, or...
WACSdata: Format data for WACS
WACSestim: Estimation of the parameters of a WACS model
WACSplot: Produces validation and/or WACS comparison plots
WACSplotdensity: For plotting fitted bivariate densities of residuals
WACSreadAgroclim: Function that reads a file of format Agroclim
WACSsimul: Performs simulations based on estimated parameters of the...
WACSvalid: Performs validations of WACS simulations

Functions

ClimateSeries Man page
WACS Man page
WACS-package Man page
WACScompare Man page Source code
WACSdata Man page Source code
WACSestim Man page Source code
WACSplot Man page Source code
WACSplotdensity Man page Source code
WACSreadAgroclim Man page Source code
WACSsimul Man page Source code
WACSvalid Man page Source code
WMdiff Source code
boundsvariables Source code
csnPWM Source code
dcsn Source code
def.pos Source code
dmcsn Source code
dmcsn.marg Source code
dmcsnstar Source code
estim.Gamma Source code
extract.annual.trend Source code
extract.csn.marg Source code
flik Source code
map.wt Source code
pcsn Source code
persistence Source code
qcsn Source code
rMarkov Source code
rcsn Source code
rmcsn Source code
rmcsn.cond Source code
rmcsnstar Source code
sqrtm Source code
testvariables Source code
transform.rain Source code
wacs.buildMapping Source code
wacs.day Source code
wacs.dayOfYear Source code
wacs.estimCSNstar Source code
wacs.estimMarkov Source code
wacs.estimWT Source code
wacs.estimcycle Source code
wacs.estimrain Source code
wacs.getBounds Source code
wacs.getTemporal Source code
wacs.getVarOrig Source code
wacs.getVarWacs Source code
wacs.leapYear Source code
wacs.month Source code
wacs.renameData Source code
wacs.reorderData Source code
wacs.season Source code
wacs.selectDates Source code
wacs.simul_innercall Source code
wacs.year Source code
wacs.ymd2date Source code
wacsdensity_1d Source code
wacsdensity_2d Source code
wacsdensity_time Source code
wacsvalid.BiVar Source code
wacsvalid.CorTemp Source code
wacsvalid.MeanSd Source code
wacsvalid.Persistence Source code
wacsvalid.Rain Source code
wacsvalid.Sim Source code
wacsvalid.SumBase Source code

Files

inst
inst/doc
inst/doc/WACSgen.pdf
inst/doc/WACSgen.pdf.asis
NAMESPACE
data
data/ClimateSeries.rda
R
R/WACSvalid.R
R/WACScompare.R
R/wacs.estimMarkov.R
R/wacs.estimCSNstar.R
R/wacs.estimcycle.R
R/WACSreadAgroclim.R
R/wacs.utils.R
R/WACSsimul.R
R/wacs.dataFunctions.R
R/wacs.estimrain.R
R/wacs.simul_innercall.R
R/ClimateSeries.R
R/wacs.CSNfunctions.R
R/WACSplot.R
R/WACSestim.R
R/wacs.estimWT.R
R/wacs.simulFunctions.R
R/WACSdata.R
R/wacs.validFunctions.R
R/wacs.dateFunctions.R
R/wacs-package.R
R/WACSplotdensity.R
vignettes
vignettes/WACSgen.pdf.asis
MD5
build
build/vignette.rds
DESCRIPTION
man
man/WACSsimul.Rd
man/WACSreadAgroclim.Rd
man/WACSplot.Rd
man/WACSplotdensity.Rd
man/WACS.Rd
man/WACScompare.Rd
man/WACSestim.Rd
man/ClimateSeries.Rd
man/WACSvalid.Rd
man/WACSdata.Rd
WACS documentation built on May 19, 2017, 9:27 p.m.