| Rstpm2-package | Flexible parametric survival models. |
| AIC-method | Class "pstpm2" |
| AICc-method | Class "pstpm2" |
| anova-method | Class "pstpm2" |
| BIC-method | Class "pstpm2" |
| brcancer | German breast cancer data from Stata. |
| coef<- | Generic method to update the coef in an object. |
| colon | Colon cancer. |
| grad | gradient function (internal function) |
| 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. |
| lhs<- | Internal functions for the rstpm2 package. |
| nsx | Generate a Basis Matrix for Natural Cubic Splines (with eXtensions) |
| numDeltaMethod | Calculate numerical delta method for non-linear predictions. |
| plot-method | plots for an stpm2 fit |
| plot-method | Class "pstpm2" |
| plot-method | Class "stpm2" ~~~ |
| plot-methods | plots for an stpm2 fit |
| popmort | Background mortality rates for the colon dataset. |
| predict-method | Predicted values for an stpm2 or pstpm2 fit |
| predict-methods | Predicted values for an stpm2 or pstpm2 fit |
| predict.nsx | Evaluate a Spline Basis |
| predictnl | Generic function for non-linear prediction. |
| predictnl-method | ~~ Methods for Function predictnl ~~ |
| predictnl-method | Class "pstpm2" |
| predictnl-method | Class "stpm2" ~~~ |
| predictnl-methods | ~~ Methods for Function predictnl ~~ |
| predictnl.default | Default implementation of the 'predictnl' generic function. |
| pstpm2 | Penalised generalised survival model |
| pstpm2-class | Class "pstpm2" |
| qAICc-method | Class "pstpm2" |
| rhs | Internal functions for the rstpm2 package. |
| rhs<- | Internal functions for the rstpm2 package. |
| Rstpm2 | Flexible parametric survival models. |
| stpm2 | Fully parametric generalised survival model |
| stpm2-class | Class "stpm2" ~~~ |
| summary-method | Class "pstpm2" |
| summary-method | Class "stpm2" ~~~ |