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>.
Version: 0.1.3 Imports: Rcpp (≥ 0.11.5), fdapace (≥ 0.6.0), stats LinkingTo: Rcpp, RcppEigen Suggests: MASS, Matrix, pracma, numDeriv, testthat Published: 2024-07-20 DOI: 10.32614/CRAN.package.fdaconcur Author: Su I Iao [aut, cre], Satarupa Bhattacharjee [aut], Yaqing Chen [aut], Changbo Zhu [aut], Han Chen [aut], Yidong Zhou [aut], Ãlvaro Gajardo [aut], Poorbita Kundu [aut], Hang Zhou [aut], Hans-Georg Müller [cph, ths, aut] Maintainer: Su I Iao <siao at ucdavis.edu> BugReports: https://github.com/functionaldata/tFDAconcur/issues License: BSD_3_clause + file LICENSE URL: https://github.com/functionaldata/tFDAconcur NeedsCompilation: yes Materials: NEWS In views: FunctionalData CRAN checks: fdaconcur results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fdaconcur to link to this page.
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