R: Additive Cure Survival Model with Time-Varying Covariates

# Additive Cure Survival Model with Time-Varying Covariates

## Documentation for package ‘tvcure’ version 0.6.6

- DESCRIPTION file
- Package README

## Help Pages

additive.tvcure | Extract additive term estimates from a tvcure object.
AIC.tvcure | Akaike Information Criterion (AIC) of a tvcure object.
BIC.tvcure | Bayesian Information Criterion (BIC) of a 'tvcure.object'.
centeredBasis.gen | Generation of a recentered cubic B-spline basis matrix.
deviance.tvcure | Deviance of a 'tvcure.object'.
EDF | Compute the effective degrees freedom in a tvcure model
logEvid | Generic function for computing log-evidence
logEvid.tvcure | Log-evidence of a tvcure object.
Pcal.fun | Function to generate a penalty matrix for additive terms.
plot.tvcure | Plot visual information related to a tvcure object.
plotRegion | Generic function to plot a shaded region around values of a scalar function.
predict.tvcure | Predict method for tvcure model fits
print.tvcure | Print summary information on a 'tvcure.object'.
qknots | Specification of the knots of a cubic B-spline basis for given data.
show_c | Show Copyright Information
show_w | Show Warranty Disclaimer
simulateTVcureData | Simulation of survival data with a cure fraction and time-varying covariates.
simulateTVcureData2 | Simulation of survival data with a cure fraction and time-varying covariates.
tvcure | Fit of a tvcure model.
tvcure.object | Object resulting from the fit of a tvcure model using function 'tvcure'.