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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