# timereg v1.9.3

0

Monthly downloads

## Flexible Regression Models for Survival Data

Programs for Martinussen and Scheike (2006), `Dynamic Regression
Models for Survival Data', Springer Verlag. Plus more recent developments.
Additive survival model, semiparametric proportional odds model, fast
cumulative residuals, excess risk models and more. Flexible competing risks
regression including GOF-tests. Two-stage frailty modelling. PLS for the
additive risk model. Lasso in the 'ahaz' package.

## Functions in timereg

Name | Description | |

event.split | EventSplit (SurvSplit). | |

invsubdist | Finds inverse of piecwise linear sub-distribution | |

csl | CSL liver chirrosis data | |

mela.pop | Melanoma data and Danish population mortality by age and sex | |

cum.residuals | Model validation based on cumulative residuals | |

melanoma | The Melanoma Survival Data | |

wald.test | Makes wald test | |

two.stage | Fit Clayton-Oakes-Glidden Two-Stage model | |

recurrent.marginal.coxmean | Estimates marginal mean of recurrent events based on two cox models | |

qcut | Cut a variable | |

cox.aalen | Fit Cox-Aalen survival model | |

pval | For internal use | |

plot.aalen | Plots estimates and test-processes | |

plot.cum.residuals | Plots cumulative residuals | |

recurrent.marginal.mean | Estimates marginal mean of recurrent events | |

res.mean | Residual mean life (restricted) | |

comp.risk | Competings Risks Regression | |

diabetes | The Diabetic Retinopathy Data | |

dynreg | Fit time-varying regression model | |

mypbc | my version of the PBC data of the survival package | |

krylow.pls | Fits Krylow based PLS for additive hazards model | |

cox.ipw | Missing data IPW Cox | |

predict.timereg | Predictions for Survival and Competings Risks Regression for timereg | |

plot.dynreg | Plots estimates and test-processes | |

sim.cif | Simulation of output from Cumulative incidence regression model | |

pava.pred | Make predictions of predict functions in rows mononotone | |

sim.cox | Simulation of output from Cox model. | |

prep.comp.risk | Set up weights for delayed-entry competing risks data for comp.risk function | |

print.aalen | Prints call | |

summary.cum.residuals | Prints summary statistics for goodness-of-fit tests based on cumulative residuals | |

pc.hazard | Simulation of Piecewise constant hazard model (Cox). | |

pe.sasieni | Fits Proportional excess hazards model with fixed offsets | |

timecox | Fit Cox model with partly timevarying effects. | |

prop | Identifies the multiplicative terms in Cox-Aalen model and proportional excess risk model | |

prop.excess | Fits Proportional excess hazards model | |

simsubdist | Simulation from subdistribution function assuming piecwise linearity | |

prop.odds | Fit Semiparametric Proportional 0dds Model | |

summary.aalen | Prints summary statistics | |

prop.odds.subdist | Fit Semiparametric Proportional 0dds Model for the competing risks subdistribution | |

restricted.residual.mean | Estimates restricted residual mean for Cox or Aalen model | |

sim.cause.cox | Simulation of cause specific from Cox models. | |

TRACE | The TRACE study group of myocardial infarction | |

aalen | Fit additive hazards model | |

const | Identifies parametric terms of model | |

cox | Identifies proportional excess terms of model | |

bmt | The Bone Marrow Transplant Data | |

cause.pchazard.sim | Simulation of Piecewise constant hazard models with two causes (Cox). | |

Event | Event history object | |

Gprop.odds | Fit Generalized Semiparametric Proportional 0dds Model | |

cd4 | The multicenter AIDS cohort study | |

No Results! |

## Last month downloads

## Details

Date | 2019-01-25 |

LazyLoad | yes |

URL | https://github.com/scheike/timereg.git |

License | GPL (>= 2) |

RoxygenNote | 6.1.1 |

NeedsCompilation | yes |

Packaged | 2019-01-14 09:18:57 UTC; bhd252 |

Repository | CRAN |

Date/Publication | 2019-01-14 10:30:03 UTC |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/timereg)](http://www.rdocumentation.org/packages/timereg)
```