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fdaconcur

Concurrent Regression and History Index Models for Functional Data

v0.1.3 · Jul 19, 2024 · BSD_3_clause + file LICENSE

Description

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>.

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  installed size is  6.6Mb
  sub-directories of 1Mb or more:
    libs   6.4Mb
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  installed size is  6.8Mb
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.6Mb
  sub-directories of 1Mb or more:
    libs   6.4Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  6.8Mb
  sub-directories of 1Mb or more:
    libs   6.5Mb

Dependency Network

Dependencies Reverse dependencies Rcpp fdapace fdaconcur

Version History

new 0.1.3 Mar 9, 2026