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-4.7)MCTrend_1.0.1.zip(r-4.6)MCTrend_1.0.1.zip(r-4.5)
MCTrend_1.0.1.tgz(r-4.6-any)MCTrend_1.0.1.tgz(r-4.5-any)
MCTrend_1.0.1.tar.gz(r-4.7-any)MCTrend_1.0.1.tar.gz(r-4.6-any)
MCTrend_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
MCTrend/json (API)

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

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

Datasets:

On CRAN:

Conda:

hydrologymonte-carlotime-series

3.70 score 169 downloads 1 exports 37 dependencies

Last updated from:2fbe4ea592. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK183
linux-release-x86_64OK140
macos-release-arm64OK159
macos-oldrel-arm64OK136
windows-develOK94
windows-releaseOK92
windows-oldrelOK98
wasm-releaseOK108

Exports:MCTrend

Dependencies:clicpp11dplyrextraDistrfarvergenericsggplot2gluegoftestgtableisobandlabelinglifecyclelmomcoLmomentsmagrittrMASSpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangS7scalesstringistringrtibbletidyselecttrendutf8vctrsviridisLitewithr

Monte Carlo time series trend analysis

Rendered fromMCTrend.Rmdusingknitr::rmarkdownon May 16 2026.

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