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RecordTest: Inference Tools in Time Series Based on Record Statistics

Statistical tools based on the probabilistic properties of the record occurrence in a sequence of independent and identically distributed continuous random variables. In particular, tools to prepare a time series as well as distribution-free trend and change-point tests and graphical tools to study the record occurrence. Details about the implemented tools can be found in Castillo-Mateo et al. (2023a) <doi:10.18637/jss.v106.i05> and Castillo-Mateo et al. (2023b) <doi:10.1016/j.atmosres.2023.106934>.

Version: 2.2.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, stats
Suggests: ggpubr, knitr, rmarkdown
Published: 2023-08-07
Author: Jorge Castillo-Mateo ORCID iD [aut, cre, cph], Ana C. Cebrián ORCID iD [ths], Jesús Asín ORCID iD [ths]
Maintainer: Jorge Castillo-Mateo <jorgecastillomateo at gmail.com>
BugReports: https://github.com/JorgeCastilloMateo/RecordTest/issues
License: GPL-3
URL: https://github.com/JorgeCastilloMateo/RecordTest
NeedsCompilation: no
Citation: RecordTest citation info
Materials: README NEWS
In views: ExtremeValue
CRAN checks: RecordTest results

Documentation:

Reference manual: RecordTest.pdf
Vignettes: An Introduction to the RecordTest Package

Downloads:

Package source: RecordTest_2.2.0.tar.gz
Windows binaries: r-devel: RecordTest_2.2.0.zip, r-release: RecordTest_2.2.0.zip, r-oldrel: RecordTest_2.2.0.zip
macOS binaries: r-release (arm64): RecordTest_2.2.0.tgz, r-oldrel (arm64): RecordTest_2.2.0.tgz, r-release (x86_64): RecordTest_2.2.0.tgz, r-oldrel (x86_64): RecordTest_2.2.0.tgz
Old sources: RecordTest archive

Linking:

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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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