SOP: Generalised Additive P-Spline Regression Models Estimation

Generalised additive P-spline regression models estimation using the separation of overlapping precision matrices (SOP) method. Estimation is based on the equivalence between P-splines and linear mixed models, and variance/smoothing parameters are estimated based on restricted maximum likelihood (REML). The package enables users to estimate P-spline models with overlapping penalties. Based on the work described in Rodriguez-Alvarez et al. (2015) <doi:10.1007/s11222-014-9464-2>; Rodriguez-Alvarez et al. (2019) <doi:10.1007/s11222-018-9818-2>, and Eilers and Marx (1996) <doi:10.1214/ss/1038425655>.

Version: 1.0
Imports: stats, MASS
Suggests: SpATS
Published: 2021-07-14
Author: Maria Xose Rodriguez-Alvarez ORCID iD [aut, cre], Manuel Oviedo de la Fuente [aut], Maria Durban [ctb], Paul H.C. Eilers [ctb], Dae-Jin Lee [ctb], Mikis Stasinopoulos [ctb]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez at bcamath.org>
License: GPL-2
NeedsCompilation: no
CRAN checks: SOP results

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Reference manual: SOP.pdf
Package source: SOP_1.0.tar.gz
Windows binaries: r-devel: SOP_1.0.zip, r-release: SOP_1.0.zip, r-oldrel: SOP_1.0.zip
macOS binaries: r-release (arm64): SOP_1.0.tgz, r-release (x86_64): SOP_1.0.tgz, r-oldrel: SOP_1.0.tgz

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