Multidimensional Penalized Splines for Survival and Net Survival Models

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Documentation for package ‘survPen’ version 1.6.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

%cross%	Matrix cross-multiplication between two matrices
%mult%	Matrix multiplication between two matrices
%vec%	Matrix multiplication between a matrix and a vector
colSums2	colSums of a matrix
constraint	Sum-to-zero constraint
cor.var	Implementation of the corrected variance Vc
crs	Bases for cubic regression splines (equivalent to "cr" in 'mgcv')
crs.FP	Penalty matrix constructor for cubic regression splines
datCancer	Patients diagnosed with cervical cancer
deriv_R	Derivative of a Choleski factor
design.matrix	Design matrix for the model needed in Gauss-Legendre quadrature
grad_rho	Gradient vector of LCV and LAML wrt rho (log smoothing parameters)
Hess_rho	Hessian matrix of LCV and LAML wrt rho (log smoothing parameters)
instr	Position of the nth occurrence of a string in another one
inv.repam	Reverses the initial reparameterization for stable evaluation of the log determinant of the penalty matrix
model.cons	Design and penalty matrices for the model
NR.beta	Inner Newton-Raphson algorithm for regression parameters estimation
NR.rho	Outer Newton-Raphson algorithm for smoothing parameters estimation via LCV or LAML optimization
predict.survPen	Hazard and Survival prediction from fitted 'survPen' model
print.summary.survPen	print summary for a 'survPen' fit
pwcst	Defining piecewise constant (excess) hazard in survPen formulae
rd	Defining random effects in survPen formulae
repam	Applies initial reparameterization for stable evaluation of the log determinant of the penalty matrix
smf	Defining smooths in survPen formulae
smooth.cons	Design and penalty matrices of penalized splines in a smooth.spec object
smooth.cons.integral	Design matrix of penalized splines in a smooth.spec object for Gauss-Legendre quadrature
smooth.spec	Covariates specified as penalized splines
summary.survPen	Summary for a 'survPen' fit
survPen	(Excess) hazard model with (multidimensional) penalized splines and integrated smoothness estimation
survPen.fit	(Excess) hazard model with multidimensional penalized splines for given smoothing parameters
survPenObject	Fitted survPen object
tensor	Defining smooths in survPen formulae
tensor.in	tensor model matrix for two marginal bases
tensor.prod.S	Tensor product for penalty matrices
tensor.prod.X	tensor model matrix
tint	Defining smooths in survPen formulae