| JOPS {JOPS} | R Documentation |
Joys of P-Splines
Description
A package for working with and learning about P-splines. P-splines combine B-splines with discrete penalties to build a very flexible and effective smooth models. They can handle non-normal data in the style of generalized linear models.
This package provides functions for constructing B-spline bases and penalty matrices. It solves the penalized likelihood equations efficiently.
Several methods are provided to determine the values of penalty parameters automatically, using cross-validation, AIC, mixed models or fast Bayesian algorithms.
This package is a companion to the book by Eilers and Marx (2021). The book presents the underlying theory and contains many examples and the code R for each example is available on the website https://psplines.bitbucket.io
References
Eilers, P.H.C. and Marx, B.D. (2021). Practical Smoothing, The Joys of P-splines. Cambridge University Press.
Eilers, P.H.C. and Marx, B.D. (1996). Flexible smoothing with B-splines and penalties (with comments and rejoinder), Statistical Science, 11: 89-121.