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: |
1.0-1 |
| Imports: |
stats, MASS |
| Suggests: |
SpATS |
| Published: |
2023-09-15 |
| DOI: |
10.32614/CRAN.package.SOP |
| Author: |
Maria Xose Rodriguez-Alvarez
[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 uvigo.gal> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
SOP results |
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