Predict.matrix.mpi.smooth
                        Predict matrix method functions for SCAMs
anova.scam              Approximate hypothesis tests related to SCAM
                        fits
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
formula.scam            SCAM formula
gcv.ubre_grad           The GCV/UBRE score value and its gradient
linear.functional.terms
                        Linear functionals of a smooth in GAMs
logLik.scam             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
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
plot.scam               SCAM plotting
predict.scam            Prediction from fitted SCAM model
print.scam              Print a SCAM object
residuals.scam          SCAM residuals
scam                    Shape constrained additive models (SCAM) and
                        integrated smoothness selection
scam-package            Shape Constrained Additive Models
scam.check              Some diagnostics for a fitted scam object
scam.control            Setting GAM fitting defaults
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.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.mpi.smooth.spec
                        Constructor for monotone increasing P-splines
                        in SCAMs
smooth.construct.po.smooth.spec
                        Constructor for monotone increasing P-splines
                        in SCAMs
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
summary.scam            Summary for a SCAM fit
vis.scam                Visualization of SCAM objects
