fdaconcur
Concurrent Regression and History Index Models for Functional Data
Provides an implementation of concurrent or varying coefficient regression methods for functional data. The implementations are done for both dense and sparsely observed functional data. Pointwise confidence bands can be constructed for each case. Further, the influence of past predictor values are modeled by a smooth history index function, while the effects on the response are described by smooth varying coefficient functions, which are very useful in analyzing real data such as COVID data. References: Yao, F., Müller, H.G., Wang, J.L. (2005) doi:10.1214/009053605000000660. Sentürk, D., Müller, H.G. (2010) doi:10.1198/jasa.2010.tm09228.
- Version0.1.3
- R versionunknown
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?Yes
- Yao, F., Müller, H.G., Wang, J.L. (2005)
- Sentürk, D., Müller, H.G. (2010)
- Last release07/20/2024
Documentation
Team
Su I Iao
Han Chen
Show author detailsRolesAuthorYidong Zhou
Show author detailsRolesAuthorPoorbita Kundu
Show author detailsRolesAuthorYaqing Chen
Show author detailsRolesAuthorHans-Georg Müller
Show author detailsRolesCopyright holder, Thesis advisor, AuthorSatarupa Bhattacharjee
Show author detailsRolesAuthorChangbo Zhu
Show author detailsRolesAuthorÁlvaro Gajardo
Show author detailsRolesAuthorHang Zhou
Show author detailsRolesAuthor
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- Imports2 packages
- Suggests5 packages
- Linking To2 packages