%cross%                 Matrix cross-multiplication between two
                        matrices
%mult%                  Matrix multiplication between two matrices
%vec%                   Matrix multiplication between a matrix and a
                        vector
CumulHazard             Cumulative hazard (integral of hazard) only
DerivCumulHazard        Cumulative hazard (integral of hazard) and its
                        first and second derivatives wrt regression
                        parameters beta
HazGL                   Gauss-Legendre evaluations
HeartFailure            Patients with heart failure at risk of
                        recurrent hospitalization events
Hess_rho                Hessian matrix of LCV and LAML wrt rho (log
                        smoothing parameters)
Hess_rho_mult           Hessian matrix of LCV and LAML wrt rho (log
                        smoothing parameters). Version for
                        multiplicative decomposition : relative
                        mortality ratio 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
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
expected.table          French women mortality table
grad_rho                Gradient vector of LCV and LAML wrt rho (log
                        smoothing parameters)
grad_rho_mult           Gradient vector of LCV and LAML wrt rho (log
                        smoothing parameters). Version for
                        multiplicative decomposition : relative
                        mortality ratio model
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
list.wicss              List of ICSS standards for age-standardization
                        of cancer (net) survival
model.cons              Design and penalty matrices for the model
predSNS                 Prediction of grouped indicators : population
                        (net) survival (PNS) and age-standardized (net)
                        survival (SNS)
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
robust.var              Implementation of the robust variance Vr and
                        QIC (Pan 2001)
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
splitmult               Split original dataset at specified times to
                        fit a multiplicative model
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.in               tensor model matrix for two marginal bases
tensor.prod.S           Tensor product for penalty matrices
tensor.prod.X           tensor model matrix
