Log likelihood for a fitted SCAM, for AIC
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
Multiple Smoothing Parameter Estimation by GCV/UBRE
Checking the analytical gradient of the GCV/UBRE score
Print a SCAM object
SCAM residuals
SCAM plotting
Prediction from fitted SCAM model
QQ plots for scam model residuals
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
tools:::Rd_package_title("scam")
shape.constrained.smooth.terms
Shape preserving smooth terms in SCAM
smooth.construct.micx.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
Setting SCAM fitting defaults
Newton-Raphson method to fit SCAM
Shape constrained additive models (SCAM) and integrated smoothness selection
smooth.construct.mpi.smooth.spec
Constructor for monotone increasing P-splines in SCAMs
smooth.construct.cv.smooth.spec
Constructor for concave P-splines in SCAMs
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.po.smooth.spec
Constructor for SCOP-splines with positivity constraint
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
Some diagnostics for a fitted scam object
smooth.construct.cx.smooth.spec
Constructor for convex P-splines in SCAMs
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.tecxcx.smooth.spec
Tensor product smoothing constructor for bivariate function subject to double convexity constraint
smooth.construct.mdcv.smooth.spec
Constructor for monotone decreasing and concave P-splines in SCAMs
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.tesmi2.smooth.spec
Tensor product smoothing constructor for a bivariate function monotone increasing
in the second covariate
smooth.construct.tecvcv.smooth.spec
Tensor product smoothing constructor for bivariate function subject to double concavity constraint
smooth.construct.tismd.smooth.spec
Tensor product interaction with decreasing constraint along the first
covariate and unconstrained along the second covariate
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
Visualization of SCAM objects
smooth.construct.tismi.smooth.spec
Tensor product interaction with increasing constraint along the first
covariate and unconstrained along the second covariate
smooth.construct.mdcx.smooth.spec
Constructor for monotone decreasing and convex P-splines in SCAMs
smooth.construct.tedmd.smooth.spec
Tensor product smoothing constructor for bivariate function subject to double monotone decreasing
constraint
smooth.construct.tescx.smooth.spec
Tensor product smoothing constructor for a bivariate function convex
in the second covariate
smooth.construct.micv.smooth.spec
Constructor for monotone increasing and concave P-splines in SCAMs
Summary for a SCAM fit
smooth.construct.tesmd2.smooth.spec
Tensor product smoothing constructor for a bivariate function monotone decreasing
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.tesmi1.smooth.spec
Tensor product smoothing constructor for a bivariate function monotone increasing
in the first covariate
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
Derivative of the univariate smooth model terms
SCAM formula
Predict.matrix.mpi.smooth
Predict matrix method functions for SCAMs
The GCV/UBRE score value and its gradient
Approximate hypothesis tests related to SCAM fits
Linear functionals of a smooth in GAMs