Package: mev 1.17
mev: Modelling of Extreme Values
Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes [Dombry, Engelke and Oesting (2016) <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.
Authors:
mev_1.17.tar.gz
mev_1.17.tar.gz(r-4.5-noble)mev_1.17.tar.gz(r-4.4-noble)
mev_1.17.tgz(r-4.4-emscripten)mev_1.17.tgz(r-4.3-emscripten)
mev.pdf |mev.html✨
mev/json (API)
NEWS
# Install 'mev' in R: |
install.packages('mev', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lbelzile/mev/issues
Pkgdown:https://lbelzile.github.io
- abisko - Abisko rainfall
- eskrain - Eskdalemuir Observatory Daily Rainfall
- frwind - French wind data
- geomagnetic - Magnetic storms
- maiquetia - Maiquetia Daily Rainfall
- nidd - River Nidd Flow
- nutrients - Nutrient data
- pandemics - Deaths from pandemics
- venice - Venice Sea Levels
- w1500m - Best 200 times of Women 1500m Track
Last updated 5 months agofrom:fb0b591733. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
Exports:.fit.gpd.rob.gev.postpred.gpd_2D_fitangextrapoangmeasangmeasdirautomrlchibarclikmgpcvselectdextgpdextgp.Gdgevdgpdistgegp.fitegp.fitrangeegp.llegp.retlevegp2.fitemplikexpmeext.indexextcoefextremofit.egpfit.extgpfit.gevfit.gpdfit.ppfit.rlarggev.abiasgev.bcorgev.biasgev.dphigev.Fscoregev.infomatgev.llgev.ll.optimgev.mlegev.Nyrgev.phigev.pllgev.retlevgev.scoregev.temgev.VfungevN.dphigevN.infomatgevN.llgevN.meangevN.phigevN.scoregevN.Vfungevr.dphigevr.infomatgevr.llgevr.ll.optimgevr.phigevr.scoregevr.Vfungp.fitgpd.abiasgpd.bcorgpd.biasgpd.bootgpd.dphigpd.Fscoregpd.infomatgpd.llgpd.ll.optimgpd.mlegpd.phigpd.pllgpd.scoregpd.temgpd.Vfungpde.dphigpde.infomatgpde.llgpde.ll.optimgpde.phigpde.scoregpde.VfungpdN.dphigpdN.infomatgpdN.llgpdN.meangpdN.phigpdN.quantgpdN.scoregpdN.Vfungpdr.dphigpdr.infomatgpdr.llgpdr.ll.optimgpdr.phigpdr.scoregpdr.Vfungpdtoparibvpotinfomat.testintensBRintensXstudjacLambda2covlambdadeplikmgpmaxstabtestmvrnormNC.diagpextgppextgp.GpgevpgpPickandsXUpower.variopowerexp.corpp.infomatpp.llpp.scoreqextgpqextgp.Gqgevqgprdirrextgprextgp.Grgevrgprgparprlarg.infomatrlarg.llrlarg.scorermevrmevspecrparprparpcsrparpcshrrrlargschlather.varioscoreindepsmith.penultsmith.penult.fnspline.corrspuniftaildeptem.corrtstab.egptstab.gpdvmetric.diagW.diagxasym
Dependencies:alabamanleqslvnumDerivRcppRcppArmadilloRsolnptruncnorm