Predict.matrix.mpi.smooth
Predict matrix method functions for SCAMs
smooth.construct.micv.smooth.spec
Constructor for monotone increasing and concave P-splines in SCAMs
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
Visualization of SCAM objects
smooth.construct.mpi.smooth.spec
Constructor for monotone increasing P-splines in SCAMs
shape.constrained.smooth.terms
Shape preserving smooth terms in SCAM
smooth.construct.cx.smooth.spec
Constructor for convex P-splines in SCAMs
smooth.construct.mdcx.smooth.spec
Constructor for monotone decreasing and convex P-splines in SCAMs
smooth.construct.mpd.smooth.spec
Constructor for monotone decreasing P-splines in SCAMs
smooth.construct.tesmi2.smooth.spec
Tensor product smoothing constructor for a bivariate function monotone increasing
in the second covariate
smooth.construct.tesmd2.smooth.spec
Tensor product smoothing constructor for a bivariate function monotone decreasing
in the second covariate
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
smooth.construct.tesmd1.smooth.spec
Tensor product smoothing constructor for a bivariate function monotone decreasing
in the first covariate
smooth.construct.mdcv.smooth.spec
Constructor for monotone decreasing and concave P-splines in SCAMs
Shape constrained additive models
Multiple Smoothing Parameter Estimation by GCV/UBRE
SCAM residuals
Checking the analytical gradient of the GCV/UBRE score
Shape constrained additive models (SCAM) and integrated smoothness selection
Print a SCAM object
smooth.construct.tesmi1.smooth.spec
Tensor product smoothing constructor for a bivariate function monotone increasing
in the first covariate
Derivative of the univariate smooth model terms
SCAM plotting
smooth.construct.tedmi.smooth.spec
Tensor product smoothing constructor for bivariate function subject to double monotone increasing
constraint
Prediction from fitted SCAM model
smooth.construct.micx.smooth.spec
Constructor for monotone increasing and convex P-splines in SCAMs
smooth.construct.tedmd.smooth.spec
Tensor product smoothing constructor for bivariate function subject to double monotone decreasing
constraint
Summary for a SCAM fit
The GCV/UBRE score value and its gradient
Some diagnostics for a fitted scam object
Newton-Raphson method to fit SCAM