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| scam-package | Shape Constrained Additive Models |
| bfgs_gcv.ubre | Multiple Smoothing Parameter Estimation by GCV/UBRE |
| check.analytical | Checking the analytical gradient of the GCV/UBRE score |
| derivative.scam | Derivative of the univariate smooth model terms |
| gcv.ubre_grad | The GCV/UBRE score value and its gradient |
| marginal.matrices.tesmi1.ps | Constructs marginal model matrices for "tesmi1" and "tesmd1" bivariate smooths in case of B-splines basis functions for both unconstrained marginal smooths |
| marginal.matrices.tesmi2.ps | Constructs marginal model matrices for "tesmi2" and "tesmd2" bivariate smooths in case of B-splines basis functions for both unconstrained marginal smooths |
| persp | Visualization of SCAM objects |
| plot.scam | SCAM plotting |
| Predict.matrix.cv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.cx.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mdcv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mdcx.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.micv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.micx.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mpd.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mpi.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tedmd.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tedmi.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tesmd1.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tesmd2.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tesmi1.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tesmi2.smooth | Predict matrix method functions for SCAMs |
| predict.scam | Prediction from fitted SCAM model |
| print.scam | Print a SCAM object |
| print.summary.scam | Summary for a SCAM fit |
| residuals.scam | SCAM residuals |
| scam | Shape constrained additive models (SCAM) and integrated smoothness selection |
| scam.check | Some diagnostics for a fitted scam object |
| scam.fit | Newton-Raphson method to fit SCAM |
| shape.constrained.smooth.terms | Shape preserving smooth terms in SCAM |
| smooth.construct.cv.smooth.spec | Constructor for concave P-splines in SCAMs |
| smooth.construct.cx.smooth.spec | Constructor for convex P-splines in SCAMs |
| smooth.construct.mdcv.smooth.spec | Constructor for monotone decreasing and concave P-splines in SCAMs |
| smooth.construct.mdcx.smooth.spec | Constructor for monotone decreasing and convex P-splines in SCAMs |
| smooth.construct.micv.smooth.spec | Constructor for monotone increasing and concave P-splines in SCAMs |
| smooth.construct.micx.smooth.spec | Constructor for monotone increasing and convex P-splines in SCAMs |
| smooth.construct.mpd.smooth.spec | Constructor for monotone decreasing P-splines in SCAMs |
| smooth.construct.mpi.smooth.spec | Constructor for monotone increasing P-splines in SCAMs |
| smooth.construct.tedmd.smooth.spec | Tensor product smoothing constructor for bivariate function subject to double monotone decreasing constraint |
| smooth.construct.tedmi.smooth.spec | Tensor product smoothing constructor for bivariate function subject to double monotone increasing constraint |
| smooth.construct.tesmd1.smooth.spec | Tensor product smoothing constructor for a bivariate function monotone decreasing in the first covariate |
| smooth.construct.tesmd2.smooth.spec | Tensor product smoothing constructor for a bivariate function monotone decreasing in the second covariate |
| smooth.construct.tesmi1.smooth.spec | Tensor product smoothing constructor for a bivariate function monotone increasing in the first covariate |
| smooth.construct.tesmi2.smooth.spec | Tensor product smoothing constructor for a bivariate function monotone increasing in the second covariate |
| summary.scam | Summary for a SCAM fit |
| vis.scam | Visualization of SCAM objects |