mvLSWimpute
Imputation Methods for Multivariate Locally Stationary Time Series
Implementation of imputation techniques based on locally stationary wavelet time series forecasting methods from Wilson, R. E. et al. (2021) doi:10.1007/s11222-021-09998-2.
- Version0.1.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release08/16/2022
Documentation
Team
Matt Nunes
MaintainerShow author detailsIdris Eckley
Show author detailsRolesContributor, Thesis advisorTim Park
Show author detailsRolesContributorRebecca Wilson
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 250 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 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 2,562 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 24 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.
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Dependencies
- Depends2 packages
- Imports4 packages