Rstpm2-package | Flexible parametric survival models. |
aft | Parametric accelerated failure time model with smooth time functions |
aft-class | Class "stpm2" ~~~ |
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. |
confint.predictnl | Estimation of standard errors using the numerical delta method. |
cox.tvc | Test for a time-varying effect in the 'coxph' model |
eform | S3 method for to provide exponentiated coefficents with confidence intervals. |
eform-method | Class "pstpm2" |
eform-method | Class "stpm2" ~~~ |
eform.stpm2 | S3 method for to provide exponentiated coefficents with confidence intervals. |
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. |
lines-method | Class "pstpm2" |
lines-method | Class "stpm2" ~~~ |
lines.pstpm2 | S3 methods for lines |
lines.stpm2 | S3 methods for lines |
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-method | Class "stpm2" ~~~ |
plot-method | plots for an stpm2 fit |
plot-method | Class "pstpm2" |
plot-method | Class "stpm2" ~~~ |
plot-method | Class '"tvcCoxph"' |
plot-methods | plots for an stpm2 fit |
popmort | Background mortality rates for the colon dataset. |
predict-method | Class "stpm2" ~~~ |
predict-method | Predicted values for an stpm2 or pstpm2 fit |
predict-methods | Predicted values for an stpm2 or pstpm2 fit |
predict.formula | Estimation of standard errors using the numerical delta method. |
predict.nsx | Evaluate a Spline Basis |
predictnl | Estimation of standard errors using the numerical delta method. |
predictnl-method | Class "stpm2" ~~~ |
predictnl-method | ~~ Methods for Function predictnl ~~ |
predictnl-method | Class "pstpm2" |
predictnl-method | Class "stpm2" ~~~ |
predictnl-methods | ~~ Methods for Function predictnl ~~ |
predictnl.default | Estimation of standard errors using the numerical delta method. |
predictnl.lm | Estimation of standard errors using the numerical delta method. |
print.predictnl | Estimation of standard errors using the numerical delta method. |
pstpm2 | Penalised generalised survival model |
pstpm2-class | Class "pstpm2" |
qAICc-method | Class "pstpm2" |
residuals-method | Residual values for an stpm2 or pstpm2 fit |
residuals-methods | Residual values for an stpm2 or pstpm2 fit |
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" ~~~ |
tvcCoxph-class | Class '"tvcCoxph"' |
vuniroot | Vectorised One Dimensional Root (Zero) Finding |