JOPS: Joys of P-Splines
In JOPS: Practical Smoothing with P-Splines
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.
JOPS documentation built on Sept. 8, 2023, 5:42 p.m.
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| 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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