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SOP (version 1.0-1)

Generalised Additive P-Spline Regression Models Estimation

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) ; Rodriguez-Alvarez et al. (2019) , and Eilers and Marx (1996) .

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Version

Install

install.packages('SOP')

Monthly Downloads

204

Version

1.0-1

License

GPL-2

Maintainer

Maria Xose Rodriguez-Alvarez

Last Published

September 15th, 2023

Functions in SOP (1.0-1)

rae

Defining random effects in SOP formula
sop

Estimation of generalised additive P-spline regression models with overlapping penalties.
print.sop

Print method for sop objects
SOP-package

tools:::Rd_package_title("SOP")
sop.fit

Fitting generalised linear mixed models with overlapping precision matrices.
sop.control

Function for controlling SOP fitting
predict.sop

Prediction from a fitted SOP model
plot.sop

Default SOP plotting
ad

Adaptive smooth terms in a SOP model formula
f

Defining smooth terms in SOP formulae
summary.sop

Summary method for a fitted SOP model.