This package computes the maximum likelihood estimator of the generalised additive and index regression with shape constraints. Each additive component function is assumed to obey one of the nine possible shape restrictions: linear, increasing, decreasing, convex, convex increasing, convex decreasing, concave, concave increasing, or concave decreasing.
|Author||Yining Chen and Richard Samworth|
|Date of publication||2014-04-15 15:50:03|
|Maintainer||Yining Chen <firstname.lastname@example.org>|
|License||GPL (>= 2)|
decathlon: Men's decathlon athletes in 2012
decathlon_raw: Men's decathlon in 2012
PhDPublications: Doctoral Publications
plot.scair: Plot additive index components of a "scair" object
plot.scar: Plot components of a "scar" object
predict.scair: Predict method for 'scair' fits
predict.scar: Predict method for 'scar' fits
scair: Maximizing the likelihood of the generalised additive index...
scar: Compute the maximum likelihood estimator of the generalised...
scar-internal: Internal shape-constrained additive regression functions
scar-package: Shape-Constrained Additive (index) Regression: a maximum...