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SOP  

Generalised Additive P-Spline Regression Models Estimation
View on CRAN: Click here


Download and install SOP package within the R console
Install from CRAN:
install.packages("SOP")

Install from Github:
library("remotes")
install_github("cran/SOP")

Install by package version:
library("remotes")
install_version("SOP", "1.0-1")



Attach the package and use:
library("SOP")
Maintained by
Maria Xose Rodriguez-Alvarez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-14
Latest Update: 2023-09-15
Description:
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>.
How to cite:
Maria Xose Rodriguez-Alvarez (2021). SOP: Generalised Additive P-Spline Regression Models Estimation. R package version 1.0-1, https://cran.r-project.org/web/packages/SOP. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0 (2021-07-14 10:40)
Other packages that cited SOP R package
View SOP citation profile
Other R packages that SOP depends, imports, suggests or enhances
Complete documentation for SOP
Functions, R codes and Examples using the SOP R package
Some associated functions: SOP-package . ad . f . plot.sop . predict.sop . print.sop . rae . sop.control . sop.fit . sop . summary.sop . 
Some associated R codes: Auxiliar.R . plot.sop.R . predict.sop.R . print.sop.R . print.summary.sop.R . sop.R . sop.control.R . sop.fit.R . summary.sop.R .  Full SOP package functions and examples
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