COBS: COnstrained B-Splines

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Ada Coda
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COBS: COnstrained B-Splines

Post by Ada Coda » Sun May 03, 2015 9:24 pm

COBS: COnstrained B-Splines

Abstract: COBS (COnstrained B-Splines), written in R, creates constrained regression smoothing splines via linear programming and sparse matrices. The method has two important features: the number and location of knots for the spline fit are established using the likelihood-based Akaike Information Criterion (rather than a heuristic procedure); and fits can be made for quantiles (e.g. 25% and 75% as well as the usual 50%) in the response variable, which is valuable when the scatter is asymmetrical or non-Gaussian. This code is useful for, for example, estimating cluster ages when there is a wide spread in stellar ages at a chosen absorption, as a standard regression line does not give an effective measure of this relationship.

Credit: Ng, Pin T.; Maechler, Martin


Bibcode: 2015ascl.soft05010N

Preferred citation method: Please see citation information here: ... ation.html

ID: ascl:1505.010
Last edited by Ada Coda on Mon Feb 04, 2019 7:22 pm, edited 1 time in total.
Reason: Updated code entry.

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