fdarep
Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data
Provides an implementation of two-dimensional functional principal component analysis (FPCA), Marginal FPCA, and Product FPCA for repeated functional data. Marginal and Product FPCA implementations are done for both dense and sparsely observed functional data. References: doi:10.1111/rssb.12160, doi:10.1080/01621459.2012.734196, doi:10.1214/009053606000000272, doi:10.1198/016214504000001745.
- Version0.1.1
- R versionunknown
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?Yes
- Last release03/06/2024
Team
Poorbita Kundu
Han Chen
Show author detailsRolesAuthorSu I Iao
Show author detailsRolesAuthorPedro Delicado
Hans-Georg Müller
Show author detailsRolesCopyright holder, Thesis advisor, AuthorChangbo Zhu
Show author detailsRolesAuthorHang Zhou
Show author detailsRolesAuthorKehui Chen
Show author detailsRolesAuthorMuqing Cui
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 174 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 7 times.
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Last 365 days
This package has been downloaded 2,041 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 20 downloads.
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Dependencies
- Imports7 packages
- Suggests1 package
- Linking To2 packages