Package: RecordTest 2.2.0

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>.

Authors:Jorge Castillo-Mateo [aut, cre, cph], Ana C. Cebrián [ths], Jesús Asín [ths]

RecordTest_2.2.0.tar.gz
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RecordTest_2.2.0.tgz(r-4.4-any)RecordTest_2.2.0.tgz(r-4.3-any)
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RecordTest.pdf |RecordTest.html✨
RecordTest/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/jorgecastillomateo/recordtest/issues

Datasets:

On CRAN:

hypothesis-testingrecord-breaking

3.70 score 1 stars 3 scripts 227 downloads 37 exports 28 dependencies

Last updated 1 years agofrom:463cca629c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winOKOct 29 2024
R-4.5-linuxOKOct 29 2024
R-4.4-winOKOct 29 2024
R-4.4-macOKOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:brown.methodchange.pointdpoisbinomfisher.methodfoster.plotfoster.testglobal.testI.recordI.record.defaultI.record.matrixI.record.numericL.plotL.recordlr.testN.plotN.recordN.testNmean.recordp.chisq.testp.plotp.recordp.regression.testppoisbinomqpoisbinomR.recordrcrmrecordsrpoisbinomS.recordscore.testseries_doubleseries_recordseries_revseries_splitseries_tiesseries_uncorseries_untie

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

An Introduction to the RecordTest Package

Rendered fromRecordTest.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2023-08-06
Started: 2020-07-14

Readme and manuals

Help Manual

Help pageTopics
*RecordTest*: A Package for Testing the Classical Record ModelRecordTest-package RecordTest
Brown's Method on the Number of Recordsbrown.method
Change-point Detection Tests Based on Recordschange.point
Fisher's Methodfisher.method
Plots Based on Foster-Stuart and Diersen-Trenkler Statisticsfoster.plot
Foster-Stuart and Diersen-Trenkler Testsfoster.test
Global Statistic for Two-Sided Testsglobal.test
Record IndicatorsI.record I.record.default I.record.matrix I.record.numeric
Times of Record PlotL.plot
Record TimesL.record
Likelihood-Ratio Test for the Likelihood of the Record Indicatorslr.test
Number of Records PlotN.plot
Number of RecordsN.record Nmean.record
Number of Records TestN.test
200-Meter Olympic Records from 1900 to 2020Olympic_records_200m
Pearson's Chi-Square Test for Probabilities of Recordp.chisq.test
Probabilities of Record Plotsp.plot
Probabilities of Recordp.record S.record
Probabilities of Record Regression Testp.regression.test
The Poisson Binomial Distributiondpoisbinom Poisson-Binomial ppoisbinom qpoisbinom rpoisbinom
Record ValuesR.record
The Classical Record Modelrcrm
Record Values and Record Timesrecords
Score Test for the Likelihood of the Record Indicatorsscore.test
Double the Number of Seriesseries_double
From Record Times to Time Seriesseries_record
Reverse Elements by Columnsseries_rev
Split Seriesseries_split
Summary of Record Tiesseries_ties
Subset of Uncorrelated Seriesseries_uncor
Breaking Record Tiesseries_untie
Time Series of Daily Maximum Temperature at Zaragoza (Spain)TX_Zaragoza TX_Zaragoza29F
Split and Uncorrelated Time Series 'TX_Zaragoza'ZaragozaSeries