Step by step guide to timeseries simulation | Choosing a Probability Distribution | Choosing a Correlation Structure | Adding Intermittency (if required) | Validating the Results | Multivariate and Random Fields Simulation | Spatiotemporal Correlation Structures | Multivariate Time Series Simulation | set a sequence of hypothetical coordinates | compute VAR model parameters | generate correlated timeseries | visualize simulated timeseries | Random Fields Simulation | Isotropic Random Fields | Validating the Simulated Random Fields | Anisotropic Random Fields | Lagrangian Random Fields | Random Fields with non-Gaussian Dependence Structures | Stochastic Simulation of Real-World Processes | Hourly Precipitation | Daily streamflow | Recommended and Supported Distributions in CoSMoS | Recommended Distributions for Hydroclimatic Variables | Supported Distribution in CoSMoS | Historical Note | References
Package: CoSMoS 2.2.0
Kevin Shook
CoSMoS: Complete Stochastic Modelling Solution
Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).
Authors:
CoSMoS_2.2.0.tar.gz
CoSMoS_2.2.0.zip(r-4.7)CoSMoS_2.2.0.zip(r-4.6)CoSMoS_2.2.0.zip(r-4.5)
CoSMoS_2.2.0.tgz(r-4.6-x86_64)CoSMoS_2.2.0.tgz(r-4.6-arm64)CoSMoS_2.2.0.tgz(r-4.5-x86_64)CoSMoS_2.2.0.tgz(r-4.5-arm64)
CoSMoS_2.2.0.tar.gz(r-4.7-arm64)CoSMoS_2.2.0.tar.gz(r-4.7-x86_64)CoSMoS_2.2.0.tar.gz(r-4.6-arm64)CoSMoS_2.2.0.tar.gz(r-4.6-x86_64)
CoSMoS_2.2.0.tgz(r-4.6-emscripten)CoSMoS_2.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CoSMoS/json (API)
| # Install 'CoSMoS' in R: |
| install.packages('CoSMoS', repos = c('https://tychelab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tychelab/cosmos/issues
Last updated from:272eb8b18d. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 290 | ||
| linux-devel-x86_64 | NOTE | 278 | ||
| source / vignettes | OK | 386 | ||
| linux-release-arm64 | NOTE | 287 | ||
| linux-release-x86_64 | NOTE | 271 | ||
| macos-release-arm64 | NOTE | 194 | ||
| macos-release-x86_64 | NOTE | 362 | ||
| macos-oldrel-arm64 | NOTE | 188 | ||
| macos-oldrel-x86_64 | NOTE | 457 | ||
| windows-devel | NOTE | 237 | ||
| windows-release | NOTE | 189 | ||
| windows-oldrel | NOTE | 180 | ||
| wasm-release | OK | 177 |
Exports:acsactfactfdiscreteactfInvactiactpntsactpntsB6advectionFadvectionFhyperbolicadvectionFradialadvectionFrotationadvectionFspiraladvectionFspiralCEadvectionFuniformanalyzeTSanisotropyTanisotropyTaffineanisotropyTswirlanisotropyTwavecheckRFcheckTSdburrIIIdburrXIIdgevdggammadparetoIIfitACSfitactffitDistfitVARgenerateMTSgenerateMTSFastgenerateRFgenerateRFFastgenerateTSmburrIIImburrXIImgevmggammamomentsmparetoIIpburrIIIpburrXIIpgevpggammapopulationstatpparetoIIqburrIIIqburrXIIqgevqggammaqparetoIIquickTSPlotrburrIIIrburrXIIregenerateTSreportTSrgevrggammarparetoIIsample.momentssimulateTSstcfclaytonstcfgneiting14stcfgneiting16stcs
Dependencies:animationBHclicpp11curldata.tablefarverggplot2ggquivergluegtableisobandlabelinglatticelifecyclemagickmagrittrmArMASSMatrixmatrixcalcMBAmisc3dmvtnormnloptrpatchworkplot3DpracmaR6RColorBrewerRcppRcppEigenRcppNumericalrlangS7scalesvctrsviridisLitewithr
