Inference Tools in Time Series Based on Record Statistics


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Documentation for package ‘RecordTest’ version 2.1.0

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RecordTest-package *RecordTest*: A Package for Testing the Classical Record Model
brown.method Brown's Method on the Number of Records
change.point Change-point Detection Tests Based on Records
dpoisbinom The Poisson Binomial Distribution
fisher.method Fisher's Method
foster.plot Plots Based on Foster-Stuart and Diersen-Trenkler Statistics
foster.test Foster-Stuart and Diersen-Trenkler Tests
global.test Global Statistic for Two-Sided Tests
I.record Record Indicators
I.record.default Record Indicators
I.record.matrix Record Indicators
I.record.numeric Record Indicators
L.plot Times of Record Plot
L.record Record Times
lr.test Likelihood-Ratio Test for the Likelihood of the Record Indicators
N.plot Number of Records Plot
N.record Number of Records
N.test Number of Records Test
Nmean.record Number of Records
Olympic_records_200m 200-Meter Olympic Records from 1900 to 2020
p.chisq.test Pearson's Chi-Square Test for Probabilities of Record
p.plot Probabilities of Record Plots
p.record Probabilities of Record
p.regression.test Probabilities of Record Regression Test
Poisson-Binomial The Poisson Binomial Distribution
ppoisbinom The Poisson Binomial Distribution
qpoisbinom The Poisson Binomial Distribution
R.record Record Values
rcrm The Classical Record Model
records Record Values and Record Times
rpoisbinom The Poisson Binomial Distribution
S.record Probabilities of Record
score.test Score Test for the Likelihood of the Record Indicators
series_double Double the Number of Series
series_record From Record Times to Time Series
series_rev Reverse Elements by Columns
series_split Splitted Series
series_ties Summary of Record Ties
series_uncor Subset of Uncorrelated Series
series_untie Breaking Record Ties
TX_Zaragoza Time Series of Daily Maximum Temperature at Zaragoza (Spain)
ZaragozaSeries Splitted and Uncorrelated Time Series 'TX_Zaragoza'