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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "NSMM" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'NSMM: Non-Stationary Multivariate (Copula-Based) Framework, Hydrological Applications'
version: 0.1.2
doi: 10.32614/CRAN.package.NSMM
abstract: 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) <https://doi.org/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:
- family-names: Goutali
  given-names: Dorsaf
  email: dorsaf.goutali@inrs.ca
- family-names: Chebana
  given-names: Fateh
  email: fateh.chebana@inrs.ca
repository: https://cran.r-universe.dev
commit: 7c7529454004bde50b3fd3fb809c80e0b96f7fe8
date-released: '2026-04-15'
contact:
- family-names: Goutali
  given-names: Dorsaf
  email: dorsaf.goutali@inrs.ca