Package: MultivariateTrendAnalysis 0.1.3

Dorsaf Goutali

MultivariateTrendAnalysis: Univariate and Multivariate Trend Testing

With foundations on the work by Goutali and Chebana (2024) <doi:10.1016/j.envsoft.2024.106090>, this package contains various univariate and multivariate trend tests. The main functions regard the Multivariate Dependence Trend and Multivariate Overall Trend tests as proposed by Goutali and Chebana (2024), as well as a plotting function that proves useful as a summary and complement of the tests. Although many packages and methods carry univariate tests, the Mann-Kendall and Spearman's rho test implementations are included in the package with an adapted version to hydrological formulation (e.g. as in Rao and Hamed 1998 <doi:10.1016/S0022-1694(97)00125-X> or Chebana 2022 <doi:10.1016/C2021-0-01317-1>). For better understanding of the example use of the functions, three datasets are included. These are synthetic data and shouldn't be used beyond that purpose.

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

MultivariateTrendAnalysis_0.1.3.tar.gz
MultivariateTrendAnalysis_0.1.3.zip(r-4.7-any)MultivariateTrendAnalysis_0.1.3.zip(r-4.6-any)
MultivariateTrendAnalysis_0.1.3.tar.gz(r-4.7-any)MultivariateTrendAnalysis_0.1.3.tar.gz(r-4.6-any)
MultivariateTrendAnalysis_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MultivariateTrendAnalysis/json (API)

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

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 182 downloads 8 exports 15 dependencies

Last updated from:b071e30b9b. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK113
source / vignettesOK206
linux-releaseOK118
windows-develOK93
windows-releaseOK95
wasm-releaseOK97

Exports:generate_dataMDT_testmkComponentmkUnivariateMOT_testplotTrendsrUnivariatesummaryTrend

Dependencies:ADGofTestclustercolorspacecopulagsllatticeMatrixmvtnormnumDerivpcaPPpsplineresamplestabledistVGAMzoo