Package: funtimes 9.2

funtimes: Functions for Time Series Analysis

Nonparametric estimators and tests for time series analysis. The functions use bootstrap techniques and robust nonparametric difference-based estimators to test for the presence of possibly non-monotonic trends and for synchronicity of trends in multiple time series.

Authors:Vyacheslav Lyubchich [aut, cre], Yulia R. Gel [aut], Alexander Brenning [ctb], Calvin Chu [ctb], Xin Huang [ctb], Umar Islambekov [ctb], Palina Niamkova [ctb], Dorcas Ofori-Boateng [ctb], Ethan D. Schaeffer [ctb], Srishti Vishwakarma [aut], Xingyu Wang [ctb]

funtimes_9.2.tar.gz
funtimes_9.2.zip(r-4.5)funtimes_9.2.zip(r-4.4)funtimes_9.2.zip(r-4.3)
funtimes_9.2.tgz(r-4.4-any)funtimes_9.2.tgz(r-4.3-any)
funtimes_9.2.tar.gz(r-4.5-noble)funtimes_9.2.tar.gz(r-4.4-noble)
funtimes_9.2.tgz(r-4.4-emscripten)funtimes_9.2.tgz(r-4.3-emscripten)
funtimes.pdf |funtimes.html✨
funtimes/json (API)

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

Bug tracker:https://github.com/vlyubchich/funtimes/issues

On CRAN:

Conda-Forge:

6.69 score 7 stars 93 scripts 572 downloads 1 mentions 30 exports 130 dependencies

Last updated 2 years agofrom:94975df305. Checks:1 OK, 6 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-winWARNINGFeb 12 2025
R-4.5-linuxWARNINGFeb 12 2025
R-4.4-winWARNINGFeb 12 2025
R-4.4-macWARNINGFeb 12 2025
R-4.3-winWARNINGFeb 12 2025
R-4.3-macWARNINGFeb 12 2025

Exports:ARestAuePolyReg_testbealesBICCcausality_predcausality_predVARccf_bootCSlideClustercumsumCPA_testCWindowClusterDRGombayCPA_testHVKi.tailsmcusum_testmcusum.testnotrend_testnotrend.testpurityq.tailsr_critsync_clustersync_testsync.clustersync.testtails_itails_qWAVKwavk_testwavk.test

Dependencies:abindarmaskpassbackportsbase64encbootbslibcachemcheckmatecliclusterclusterGenerationcodacodetoolscolorspacecorpcorcpp11curldata.tabledbscandigestdplyrevaluatefansifarverfastDummiesfastmapfdrtoolfontawesomeforeachforeignFormulafsgenericsggplot2glassoglmnetglueGPArotationgraphicalVARgridExtragsubfngtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetshttrigraphisobanditeratorsjpegjquerylibjsonliteKendallknitrlabelinglatticelavaanlifecyclelme4lmtestmagrittrMASSMatrixmemoisemgcvmimeminqamlVARmnormtMplusAutomationmunsellmvtnormnlmenloptrnnetnumDerivopensslpanderpbapplypbivnormpillarpkgconfigplyrpngprotopsychqgraphquadprogR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrmarkdownrpartrstudioapisandwichsassscalesshapestringistringrstrucchangesurvivalsystexregtibbletidyselecttinytexurcautf8varsvctrsviridisviridisLitewithrxfunxtableyamlzoo

Beale's estimator and sample size calculation

Vyacheslav Lyubchich

Rendered frombeales.Rmdusingknitr::rmarkdownon Feb 12 2025.

Last update: 2021-08-16
Started: 2020-11-24

Clustering time series using funtimes package

Srishti Vishwakarma

Rendered fromtsclusters.Rmdusingknitr::rmarkdownon Feb 12 2025.

Last update: 2022-04-05
Started: 2022-02-22

Tests for trends in time series

Vyacheslav Lyubchich

Rendered fromtrendtests.Rmdusingknitr::rmarkdownon Feb 12 2025.

Last update: 2021-08-16
Started: 2020-11-27