Package: MCTrend 1.0.1

MCTrend: Monte Carlo Trend Analysis

Application of a test to rule out that trends detected in hydrological time series are explained exclusively by the randomness of the climate. Based on: Ricchetti, (2018) <https://repositorio.uchile.cl/handle/2250/168487>.

Authors:Alonso Arriagada [aut, cre]

MCTrend_1.0.1.tar.gz
MCTrend_1.0.1.zip(r-4.5)MCTrend_1.0.1.zip(r-4.4)MCTrend_1.0.1.zip(r-4.3)
MCTrend_1.0.1.tgz(r-4.4-any)MCTrend_1.0.1.tgz(r-4.3-any)
MCTrend_1.0.1.tar.gz(r-4.5-noble)MCTrend_1.0.1.tar.gz(r-4.4-noble)
MCTrend_1.0.1.tgz(r-4.4-emscripten)MCTrend_1.0.1.tgz(r-4.3-emscripten)
MCTrend.pdf |MCTrend.html
MCTrend/json (API)

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

Peer review:

Bug tracker:https://github.com/alobondo/mctrend/issues

Datasets:

On CRAN:

4.00 score 128 downloads 1 exports 42 dependencies

Last updated 7 months agofrom:2fbe4ea592. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:MCTrend

Dependencies:clicolorspacedplyrextraDistrfansifarvergenericsggplot2gluegoftestgtableisobandlabelinglatticelifecyclelmomcoLmomentsmagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesstringistringrtibbletidyselecttrendutf8vctrsviridisLitewithr

Monte Carlo time series trend analysis

Rendered fromMCTrend.Rmdusingknitr::rmarkdownon Nov 01 2024.

Last update: 2023-11-30
Started: 2023-11-29