fdaconcur: Concurrent Regression and History Index Models for Functional Data

Provides 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 is 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>.

Version: 0.1.0
Imports: fdapace, stats
Suggests: MASS, Rcpp (≥ 0.11.5), Matrix, pracma, numDeriv, testthat
Published: 2022-09-20
Author: Satarupa Bhattacharjee [aut, cre], Yaqing Chen [aut], Changbo Zhu [aut], Han Chen [aut], Yidong Zhou [aut], Álvaro Gajardo [aut], Hans-Georg Müller [cph, ths, aut]
Maintainer: Satarupa Bhattacharjee <sbhattacharjee at ucdavis.edu>
BugReports: https://github.com/functionaldata/tFDAconcur/issues
License: BSD_3_clause + file LICENSE
URL: https://github.com/functionaldata/tFDAconcur
NeedsCompilation: no
Materials: NEWS
CRAN checks: fdaconcur results


Reference manual: fdaconcur.pdf


Package source: fdaconcur_0.1.0.tar.gz
Windows binaries: r-devel: fdaconcur_0.1.0.zip, r-release: fdaconcur_0.1.0.zip, r-oldrel: fdaconcur_0.1.0.zip
macOS binaries: r-release (arm64): fdaconcur_0.1.0.tgz, r-oldrel (arm64): fdaconcur_0.1.0.tgz, r-release (x86_64): fdaconcur_0.1.0.tgz, r-oldrel (x86_64): fdaconcur_0.1.0.tgz


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