DeCAFS
Detecting Changes in Autocorrelated and Fluctuating Signals
Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2021) doi:10.1080/01621459.2021.1909598.
- Version3.3.3
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release01/06/2023
Documentation
Team
Gaetano Romano
Guillem Rigaill
Show author detailsRolesAuthorPaul Fearnhead
Show author detailsRolesAuthorVincent Runge
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 248 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,811 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 33 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports3 packages
- Linking To1 package