mvLSW
Multivariate, Locally Stationary Wavelet Process Estimation
Tools for analysing multivariate time series with wavelets. This includes: simulation of a multivariate locally stationary wavelet (mvLSW) process from a multivariate evolutionary wavelet spectrum (mvEWS); estimation of the mvEWS, local coherence and local partial coherence. See Park, Eckley and Ombao (2014) doi:10.1109/TSP.2014.2343937 for details.
- Version1.2.5
- R version≥ 3.2
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- mvLSW citation info
- Last release06/14/2022
Documentation
Team
Daniel Grose
Rebecca Killick
Show author detailsRolesContributorIdris Eckley
Show author detailsRolesThesis advisorSimon Taylor
Show author detailsRolesAuthorTim Park
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 223 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 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 3,547 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 154 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
- Depends4 packages
- Reverse Depends1 package
- Reverse Imports1 package