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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.

Version: 9.1
Depends: R (≥ 3.5.0)
Imports: dbscan, Kendall, lmtest, mlVAR, parallel, Rdpack, sandwich, vars
Suggests: covid19us, Ecdat, ggplot2, gridExtra, knitr, patchwork, randomcoloR, readxl, reshape2, rmarkdown
Published: 2023-03-21
DOI: 10.32614/CRAN.package.funtimes
Author: Vyacheslav Lyubchich ORCID iD [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]
Maintainer: Vyacheslav Lyubchich <lyubchich at umces.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: TimeSeries
CRAN checks: funtimes results

Documentation:

Reference manual: funtimes.pdf
Vignettes: Beale's estimator and sample size calculation
Tests for trends in time series
Clustering time series using funtimes package

Downloads:

Package source: funtimes_9.1.tar.gz
Windows binaries: r-devel: funtimes_9.1.zip, r-release: funtimes_9.1.zip, r-oldrel: funtimes_9.1.zip
macOS binaries: r-release (arm64): funtimes_9.1.tgz, r-oldrel (arm64): funtimes_9.1.tgz, r-release (x86_64): funtimes_9.1.tgz, r-oldrel (x86_64): funtimes_9.1.tgz
Old sources: funtimes archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=funtimes to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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