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 nonmonotonic trends and for synchronism of trends in multiple time series.

Version: 8.2
Depends: R (≥ 3.0.0)
Imports: Jmisc, Kendall, Rdpack, FNN, dbscan, igraph
Suggests: covid19us, Ecdat, ggplot2, gridExtra, knitr, patchwork, randomcoloR, readxl, reshape2, rmarkdown
Published: 2022-02-22
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 [ctb], 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_8.2.tar.gz
Windows binaries: r-devel: funtimes_8.2.zip, r-release: funtimes_8.2.zip, r-oldrel: funtimes_8.2.zip
macOS binaries: r-release (arm64): funtimes_8.2.tgz, r-release (x86_64): funtimes_8.2.tgz, r-oldrel: funtimes_8.2.tgz
Old sources: funtimes archive

Linking:

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