Predict matrix method functions for SCAMs
Approximate hypothesis tests related to SCAM fits
Multiple Smoothing Parameter Estimation by GCV/UBRE
Checking the analytical gradient of the GCV/UBRE score
Derivative of the univariate smooth model terms
The GCV/UBRE score value and its gradient
Log likelihood for a fitted SCAM, for AIC
Constructs marginal model matrices for "tescv" and "tescx" bivariate smooths in case of B-splines basis functions for both unconstrained marginal smooths
Constructs marginal model matrices for "tesmi1" and "tesmd1" bivariate smooths in case of B-splines basis functions for both unconstrained marginal smooths
Constructs marginal model matrices for "tesmi2" and "tesmd2" bivariate smooths in case of B-splines basis functions for both unconstrained marginal smooths
Shape constrained additive models (SCAM) and integrated smoothness selection
Some diagnostics for a fitted scam object
Constructor for concave P-splines in SCAMs
Constructor for convex P-splines in SCAMs
Locally shape-constrained P-spline based constructor (LSCOP-spline): locally increasing splines up to a change point.
Constructor for monotone decreasing and concave P-splines in SCAMs
Constructor for monotone decreasing and convex P-splines in SCAMs
Constructor for monotone increasing and concave P-splines in SCAMs
Constructor for monotone increasing and convex P-splines in SCAMs
Constructor for monotone increasing SCOP-splines with an additional 'finish at zero' constraint
Constructor for monotone increasing SCOP-splines with an additional 'start at zero' constraint
Constructor for monotone decreasing P-splines in SCAMs
Constructor for monotone increasing P-splines in SCAMs
Constructor for SCOP-splines with positivity constraint
Tensor product smoothing constructor for bivariate function subject to double concavity constraint
Tensor product smoothing constructor for bivariate function subject to mixed constraints: convexity constraint wrt the first covariate and concavity wrt the second one
Tensor product smoothing constructor for bivariate function subject to double convexity constraint
Tensor product smoothing constructor for bivariate function subject to mixed constraints: monotone decreasing constraint wrt the first covariate and concavity wrt the second one
Tensor product smoothing constructor for bivariate function subject to mixed constraints: monotone decreasing constraint wrt the first covariate and convexity wrt the second one
Tensor product smoothing constructor for bivariate function subject to double monotone decreasing constraint
Tensor product smoothing constructor for bivariate function subject to double monotone increasing constraint
Tensor product smoothing constructor for bivariate function subject to mixed constraints: monotone increasing constraint wrt the first covariate and concavity wrt the second one
Tensor product smoothing constructor for bivariate function subject to mixed constraints: monotone increasing constraint wrt the first covariate and convexity wrt the second one
Tensor product smoothing constructor for a bivariate function concave in the second covariate
Tensor product smoothing constructor for a bivariate function convex in the second covariate
Tensor product smoothing constructor for a bivariate function monotone decreasing in the first covariate
Tensor product smoothing constructor for a bivariate function monotone decreasing in the second covariate
Tensor product smoothing constructor for a bivariate function monotone increasing in the first covariate
Tensor product smoothing constructor for a bivariate function monotone increasing in the second covariate
Tensor product interaction with decreasing constraint along the first covariate and unconstrained along the second covariate
Tensor product interaction with increasing constraint along the first covariate and unconstrained along the second covariate
Parameter estimator covariance matrix from SCAM fit