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Prints call for object. Lists nonparametric and parametric terms of model
● Data Source:
CranContrib
● Keywords: survival
● Alias: print.aalen, print.comprisk, print.cox.aalen, print.cum.residuals, print.dynreg, print.prop.excess, print.timecox
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prop
(Package: timereg) :
Identifies the multiplicative terms in Cox-Aalen model and
Specifies which of the regressors that belong to the multiplicative part of the Cox-Aalen model
● Data Source:
CranContrib
● Keywords: survival
● Alias: prop
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plot.aalen
(Package: timereg) :
Plots estimates and test-processes
This function plots the non-parametric cumulative estimates for the additive risk model or the test-processes for the hypothesis of time-varying effects with re-sampled processes under the null.
● Data Source:
CranContrib
● Keywords: survival
● Alias: plot.aalen, plot.cox.aalen, plot.prop.excess, plot.timecox
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Computes p-values for test of significance for nonparametric terms of model, p-values for test of constant effects based on both supremum and integrated squared difference.
● Data Source:
CranContrib
● Keywords: survival
● Alias: summary.aalen, summary.cox.aalen, summary.dynreg, summary.prop.excess, summary.timecox
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predict.timereg
(Package: timereg) :
Predictions for Survival and Competings Risks Regression for timereg
Make predictions based on the survival models (Aalen and Cox-Aalen) and the competing risks models for the cumulative incidence function (comp.risk). Computes confidence intervals and confidence bands based on resampling.
● Data Source:
CranContrib
● Keywords: survival
● Alias: predict.aalen, predict.comprisk, predict.cox.aalen, predict.timereg
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restricted.residual.mean
(Package: timereg) :
Estimates restricted residual mean for Cox or Aalen model
The restricted means are the
● Data Source:
CranContrib
● Keywords: survival
● Alias: restricted.residual.mean
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cum.residuals
(Package: timereg) :
Model validation based on cumulative residuals
Computes cumulative residuals and approximative p-values based on resampling techniques.
● Data Source:
CranContrib
● Keywords: survival
● Alias: cum.residuals
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pe.sasieni
(Package: timereg) :
Fits Proportional excess hazards model with fixed offsets
Fits proportional excess hazards model. The Sasieni proportional excess risk model.
● Data Source:
CranContrib
● Keywords: survival
● Alias: pe.sasieni, summary.pe-sasieni
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two.stage
(Package: timereg) :
Fit Clayton-Oakes-Glidden Two-Stage model
Fit Clayton-Oakes-Glidden Two-Stage model with Cox-Aalen marginals and regression on the variance parameters.
● Data Source:
CranContrib
● Keywords: survival
● Alias: two.stage
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This function plots the output from the cumulative residuals function "cum.residuals". The cumulative residuals are compared with the performance of similar processes under the model.
● Data Source:
CranContrib
● Keywords: survival
● Alias: plot.cum.residuals
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providing 
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