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

0packages depend
2.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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).

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK6 OK2026-04-17
  • ERROR3 OK, 1 ERROR2026-04-16
Advisories

none known

Documentation

In release 0.1.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
12
Examples that run
18%2 run in a plain check · 9 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Downloads

2.1K
CRAN downloads in the past year
Rank #15,410 · ~6/day · ~179/mo
Daily download trend is not available in this view yet.
24530 days
79990 days
2.1K1 year
Compare downloads with other packages →
Also on35 r2u3 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing NSMM adds 41 packages (23 with compiled code, 40 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, copula 3.5 MB.

Depends (1)
R >= 3.5
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.2 (2026)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    2026-04-15 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-04-15
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5
Bundled data
1.0 KB / 1 file
Download size
29 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NSMM")
Goutali, D., & Chebana, F. (2026). NSMM: Non-Stationary Multivariate (Copula-Based) Framework, Hydrological Applications (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.NSMM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NSMM version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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