Rstpm2-package          Flexible parametric survival models.
aft                     Parametric accelerated failure time model with
                        smooth time functions
aft-class               Class "stpm2" ~~~
aft_integrated          Parametric accelerated failure time model with
                        smooth time functions
aft_integrated-class    Class "stpm2" ~~~
aft_mixture             Parametric accelerated failure time model with
                        smooth time functions
aft_mixture-class       Class "stpm2" ~~~
bhazard                 Placemarker function for a baseline hazard
                        function.
brcancer                German breast cancer data from Stata.
coef<-                  Generic method to update the coef in an object.
colon                   Colon cancer.
cox.tvc                 Test for a time-varying effect in the 'coxph'
                        model
eform.stpm2             S3 method for to provide exponentiated
                        coefficents with confidence intervals.
grad                    gradient function (internal function)
gsm                     Parametric and penalised generalised survival
                        models
gsm.control             Defaults for the gsm call
gsm_design              Extract design information from an stpm2/gsm
                        object and newdata for use in C++
incrVar                 Utility that returns a function to increment a
                        variable in a data-frame.
legendre.quadrature.rule.200
                        Legendre quadrature rule for n=200.
lhs                     Internal functions for the rstpm2 package.
lines.stpm2             S3 methods for lines
markov_msm              Predictions for continuous time, nonhomogeneous
                        Markov multi-state models using parametric and
                        penalised survival models.
markov_sde              Predictions for continuous time, nonhomogeneous
                        Markov multi-state models using Aalen's
                        additive hazards models.
nsx                     Generate a Basis Matrix for Natural Cubic
                        Splines (with eXtensions)
nsxD                    Generate a Basis Matrix for the first
                        derivative of Natural Cubic Splines (with
                        eXtensions)
numDeltaMethod          Calculate numerical delta method for non-linear
                        predictions.
plot-methods            plots for an stpm2 fit
popmort                 Background mortality rates for the colon
                        dataset.
predict-methods         Predicted values for an stpm2 or pstpm2 fit
predict.nsx             Evaluate a Spline Basis
predictnl               Estimation of standard errors using the
                        numerical delta method.
predictnl-methods       ~~ Methods for Function predictnl ~~
pstpm2-class            Class "pstpm2"
residuals-methods       Residual values for an stpm2 or pstpm2 fit
simulate-methods        Simulate values from an stpm2 or pstpm2 fit
smoothpwc               Utility to use a smooth function in markov_msm
                        based on piece-wise constant values
stpm2-class             Class "stpm2" ~~~
tvcCoxph-class          Class '"tvcCoxph"'
update-methods          Methods for Function update
vuniroot                Vectorised One Dimensional Root (Zero) Finding
