R: Shape Constrained Additive Models

# Shape Constrained Additive Models

## Documentation for package ‘scam’ version 1.2-22

- DESCRIPTION file

## Help Pages

scam-package | Shape Constrained Additive Models
AIC.scam | Log likelihood for a fitted SCAM, for AIC
anova.scam | Approximate hypothesis tests related to SCAM fits
derivative.scam | Derivative of the univariate smooth model terms
function.predictors | Linear functionals of a smooth in GAMs
linear.functional.terms | Linear functionals of a smooth in GAMs
logLik.scam | Log likelihood for a fitted SCAM, for AIC
persp | Visualization of SCAM objects
plot.scam | SCAM plotting
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
qq.scam | QQ plots for scam model residuals
residuals.scam | SCAM residuals
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
shape.constrained.smooth.terms | Shape preserving smooth terms in SCAM
signal.regression | Linear functionals of a smooth in GAMs
smooth.construct.cpop.smooth.spec | Constructor for SCOP-splines with positivity constraint
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.dpo.smooth.spec | Constructor for SCOP-splines with positivity constraint
smooth.construct.ipo.smooth.spec | Constructor for SCOP-splines with positivity constraint
smooth.construct.lipl.smooth.spec | Locally shape-constrained P-spline based constructor (LSCOP-spline): locally increasing splines up to a change point.
smooth.construct.lmpi.smooth.spec | Locally shape-constrained P-spline based constructor (LSCOP-spline): locally increasing splines up to a change point.
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
vcov.scam | Parameter estimator covariance matrix from SCAM fit
vis.scam | Visualization of SCAM objects