Package: NSMM 0.1.2

Dorsaf Goutali

NSMM: Non-Stationary Multivariate (Copula-Based) Framework, Hydrological Applications

To account for non-stationary multivariate data, this package implements the framework including copula and marginal distributions. In addition to modeling and parameter estimations, it allows the computation and visualization of multivariate quantile curves for given events. This package is useful for a variety of disciplines such as finance, climatology and particularly for hydrological applications, where dependence structures and marginal parameters may vary over time. This framework, based on Chebana & Ouarda (2021) <doi:10.1016/j.jhydrol.2020.125907>, integrates both multivariate and non-stationary aspects to be more accurate (e.g. for risk assessment) and more realistic (e.g. considering climate changes).

Authors:Dorsaf Goutali [aut, cre], Fateh Chebana [aut]

NSMM_0.1.2.tar.gz
NSMM_0.1.2.tar.gz(r-4.7-any)NSMM_0.1.2.tar.gz(r-4.6-any)
NSMM_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
NSMM/json (API)

# Install 'NSMM' in R:
install.packages('NSMM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 450 downloads 11 exports 45 dependencies

Last updated from:7c75294540. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK149
source / vignettesOK189
linux-release-x86_64OK162
wasm-releaseOK108

Exports:claytonEstimationcopulaNSestimationgalambosEstimationgumbelEstimationhuslerReissEstimationjoeEstimationmarginalNSestimationmqcNScopulaNSmarginalquantilePlotNS

Dependencies:ADGofTestcliclustercolorspacecopulacpp11dplyrEnvStatsevdfarvergenericsggplot2gluegslgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmvtnormnortestnumDerivopenxlsxpcaPPpillarpkgconfigpsplineR6RColorBrewerRcpprlangS7scalesstablediststringitibbletidyselectutf8vctrsviridisLitewithrzip