Shape Constrained Additive Models
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Documentation for package ‘scam’ version 1.2-16
Help Pages
| scam-package | Shape Constrained Additive Models |
-- A --
| AIC.scam | Log likelihood for a fitted SCAM, for AIC |
| anova.scam | Approximate hypothesis tests related to SCAM fits |
-- B --
| bfgs_gcv.ubre | Multiple Smoothing Parameter Estimation by GCV/UBRE |
-- C --
| check.analytical | Checking the analytical gradient of the GCV/UBRE score |
-- D --
| derivative.scam | Derivative of the univariate smooth model terms |
-- F --
| formula.scam | SCAM formula |
| function.predictors | Linear functionals of a smooth in GAMs |
-- G --
| gcv.ubre_grad | The GCV/UBRE score value and its gradient |
-- L --
| linear.functional.terms | Linear functionals of a smooth in GAMs |
| logLik.scam | Log likelihood for a fitted SCAM, for AIC |
-- M --
| marginal.matrices.tescv.ps | Constructs marginal model matrices for "tescv" and "tescx" bivariate smooths in case of B-splines basis functions for both unconstrained marginal smooths |
| 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 |
-- P --
| persp | Visualization of SCAM objects |
| plot.scam | SCAM plotting |
| Predict.matrix.cv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.cvBy.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.cx.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.cxBy.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mdcv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mdcvBy.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mdcx.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mdcxBy.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.micv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.micvBy.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.micx.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.micxBy.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mifo.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.miso.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mpd.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mpdBy.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mpi.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.mpiBy.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.po.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tecvcv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tecxcv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tecxcx.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tedecv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tedecx.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.temicv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.temicx.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tescv.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tescx.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.matrix.tismd.smooth | Predict matrix method functions for SCAMs |
| Predict.matrix.tismi.smooth | Predict matrix method functions for SCAMs |
| predict.scam | Prediction from fitted SCAM model |
| print.anova.scam | Approximate hypothesis tests related to SCAM fits |
| print.scam | Print a SCAM object |
| print.summary.scam | Summary for a SCAM fit |
-- Q --
| qq.scam | QQ plots for scam model residuals |
-- R --
| residuals.scam | SCAM residuals |
-- S --
| scam | Shape constrained additive models (SCAM) and integrated smoothness selection |
| scam.check | Some diagnostics for a fitted scam object |
| scam.control | Setting SCAM fitting defaults |
| scam.fit | Newton-Raphson method to fit SCAM |
| shape.constrained.smooth.terms | Shape preserving smooth terms in SCAM |
| signal.regression | Linear functionals of a smooth in GAMs |
| smooth.construct.cv.smooth.spec | Constructor for concave P-splines in SCAMs |
| smooth.construct.cvBy.smooth.spec | Constructor for concave P-splines in SCAMs |
| smooth.construct.cx.smooth.spec | Constructor for convex P-splines in SCAMs |
| smooth.construct.cxBy.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.mdcvBy.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.mdcxBy.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.micvBy.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.micxBy.smooth.spec | Constructor for monotone increasing and convex P-splines in SCAMs |
| smooth.construct.mifo.smooth.spec | Constructor for monotone increasing SCOP-splines with an additional 'finish at zero' constraint |
| smooth.construct.miso.smooth.spec | Constructor for monotone increasing SCOP-splines with an additional 'start at zero' constraint |
| smooth.construct.mpd.smooth.spec | Constructor for monotone decreasing P-splines in SCAMs |
| smooth.construct.mpdBy.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.mpiBy.smooth.spec | Constructor for monotone increasing P-splines in SCAMs |
| smooth.construct.po.smooth.spec | Constructor for SCOP-splines with positivity constraint |
| smooth.construct.tecvcv.smooth.spec | Tensor product smoothing constructor for bivariate function subject to double concavity constraint |
| smooth.construct.tecxcv.smooth.spec | Tensor product smoothing constructor for bivariate function subject to mixed constraints: convexity constraint wrt the first covariate and concavity wrt the second one |
| smooth.construct.tecxcx.smooth.spec | Tensor product smoothing constructor for bivariate function subject to double convexity constraint |
| smooth.construct.tedecv.smooth.spec | Tensor product smoothing constructor for bivariate function subject to mixed constraints: monotone decreasing constraint wrt the first covariate and concavity wrt the second one |
| smooth.construct.tedecx.smooth.spec | Tensor product smoothing constructor for bivariate function subject to mixed constraints: monotone decreasing constraint wrt the first covariate and convexity wrt the second one |
| 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.temicv.smooth.spec | Tensor product smoothing constructor for bivariate function subject to mixed constraints: monotone increasing constraint wrt the first covariate and concavity wrt the second one |
| smooth.construct.temicx.smooth.spec | Tensor product smoothing constructor for bivariate function subject to mixed constraints: monotone increasing constraint wrt the first covariate and convexity wrt the second one |
| smooth.construct.tescv.smooth.spec | Tensor product smoothing constructor for a bivariate function concave in the second covariate |
| smooth.construct.tescx.smooth.spec | Tensor product smoothing constructor for a bivariate function convex in the second covariate |
| 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 |
| smooth.construct.tismd.smooth.spec | Tensor product interaction with decreasing constraint along the first covariate and unconstrained along the second covariate |
| smooth.construct.tismi.smooth.spec | Tensor product interaction with increasing constraint along the first covariate and unconstrained along the second covariate |
| summary.scam | Summary for a SCAM fit |
-- V --
| vis.scam | Visualization of SCAM objects |