recordtest
Inference Tools in Time Series Based on Record Statistics
Science Score: 13.0%
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✓DOI references
Found 10 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (13.7%) to scientific vocabulary
Keywords
Repository
Inference Tools in Time Series Based on Record Statistics
Basic Info
- Host: GitHub
- Owner: JorgeCastilloMateo
- Language: R
- Default Branch: master
- Homepage: https://cran.r-project.org/web/packages/RecordTest/index.html
- Size: 2.3 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
RecordTest 
The R package RecordTest provides exploratory data analysis and inference tools based on theory of records to describe the record occurrence and detect trends and change-points in time series. In particular, RecordTest consists of graphical tools, distribution-free tests for trend in location, variation or non-stationarity in the tails, and change-point detection tests, all of them based on 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.
Installation
You can install the stable version from CRAN.
s
install.packages("RecordTest")
You can install the development version from GitHub
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if (!require("remotes")) install.packages("remotes")
remotes::install_github("JorgeCastilloMateo/RecordTest")
How to start?
Get started in RecordTest with the vignettes
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vignette("RecordTest")
How to cite?
To cite RecordTest in publications use:
Castillo-Mateo J, Cebrián AC, Asín J (2023). “RecordTest: An R Package to Analyze Non-Stationarity in the Extremes Based on Record-Breaking Events.” Journal of Statistical Software, 106(5), 1--28. doi:10.18637/jss.v106.i05.
A BibTeX entry for LaTeX users is
@Article{,
title = {{RecordTest}: An {R} Package to Analyze Non-Stationarity in the Extremes Based on Record-Breaking Events},
author = {Jorge Castillo-Mateo and Ana C. Cebri\\'an and Jes\\'us As{\\'\i}n},
journal = {Journal of Statistical Software},
year = {2023},
volume = {106},
number = {5},
pages = {1--28},
doi = {10.18637/jss.v106.i05},
}
Award winner
Best Oral Communication Award (Student Category) of the I Conference & XII Meeting of R users. I Congreso & XII Jornadas de usuarios de R, Córdoba, Spain.
References
Castillo-Mateo J (2022). “Distribution-Free Changepoint Detection Tests Based on the Breaking of Records.” Environmental and Ecological Statistics, 29(3), 655--676. doi:10.1007/s10651-022-00539-2.
Castillo-Mateo J, Cebrián AC, Asín J (2023a). “RecordTest: An R Package to Analyze Non-Stationarity in the Extremes Based on Record-Breaking Events.” Journal of Statistical Software, 106(5), 1--28. doi:10.18637/jss.v106.i05.
Castillo-Mateo J, Cebrián AC, Asín J (2023b). “Statistical Analysis of Extreme and Record-Breaking Daily Maximum Temperatures in Peninsular Spain during 1960--2021.” Atmospheric Research, 293, 106934. doi:10.1016/j.atmosres.2023.106934.
Cebrián AC, Castillo-Mateo J, Asín J (2022). “Record Tests to Detect Non Stationarity in the Tails with an Application to Climate Change.” Stochastic Environmental Research and Risk Assessment, 36(2), 313--330. doi:10.1007/s00477-021-02122-w.
Diersen J, Trenkler G (1996). “Records Tests for Trend in Location.” Statistics, 28(1), 1--12. doi:10.1080/02331889708802543.
Foster FG, Stuart A (1954). “Distribution-Free Tests in Time-Series Based on the Breaking of Records.” Journal of the Royal Statistical Society B, 16(1), 1--22. doi:10.1111/j.2517-6161.1954.tb00143.x.
Owner
- Name: Jorge Castillo-Mateo
- Login: JorgeCastilloMateo
- Kind: user
- Location: Zaragoza, Zaragoza, Spain
- Company: University of Zaragoza
- Website: https://www.researchgate.net/profile/Jorge-Castillo-Mateo
- Repositories: 1
- Profile: https://github.com/JorgeCastilloMateo
Statistics & Mathematics
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| Name | Commits | |
|---|---|---|
| Jorge Castillo-Mateo | j****o@g****m | 35 |
| JorgeCastilloMateo | 6****o | 1 |
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Last synced: 7 months ago
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Packages
- Total packages: 1
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Total downloads:
- cran 238 last-month
- Total docker downloads: 21,613
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 8
- Total maintainers: 1
cran.r-project.org: RecordTest
Inference Tools in Time Series Based on Record Statistics
- Homepage: https://github.com/JorgeCastilloMateo/RecordTest
- Documentation: http://cran.r-project.org/web/packages/RecordTest/RecordTest.pdf
- License: GPL-3
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Latest release: 2.2.0
published over 2 years ago
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Maintainers (1)
Dependencies
- R >= 3.5.0 depends
- ggplot2 * imports
- stats * imports
- ggpubr * suggests
- knitr * suggests
- rmarkdown * suggests