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timereg (version 1.8.2)

Flexible regression models for survival data.

Description

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 ahaz package.

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Version

Install

install.packages('timereg')

Monthly Downloads

10,714

Version

1.8.2

License

GPL (>= 2)

Maintainer

Thomas Scheike

Last Published

November 21st, 2013

Functions in timereg (1.8.2)

comp.risk

Competings Risks Regression
prop

Identifies the multiplicative terms in Cox-Aalen model and proportional excess risk model
Gprop.odds.subdist

Fit Generalized Semiparametric Proportional 0dds Model for the competing risks subdistribution
krylow.pls

Fits Krylow based PLS for additive hazards model
summary.cum.residuals

Prints summary statistics for goodness-of-fit tests based on cumulative residuals
prop.odds

Fit Semiparametric Proportional 0dds Model
const

Identifies parametric terms of model
two.stage

Fit Clayton-Oakes-Glidden Two-Stage model
timecox

Fit Cox model with partly timevarying effects.
print.aalen

Prints call
pval

For internal use
cum.residuals

Model validation based on cumulative residuals
predict.timereg

Predictions for Survival and Competings Risks Regression for timereg
aalen

Fit additive hazards model
cox.aalen

Fit Cox-Aalen survival model
prop.excess

Fits Proportional excess hazards model
plot.cum.residuals

Plots cumulative residuals
plot.aalen

Plots estimates and test-processes
Gprop.odds

Fit Generalized Semiparametric Proportional 0dds Model
plot.dynreg

Plots estimates and test-processes
summary.aalen

Prints summary statistics
cox

Identifies proportional excess terms of model
prop.odds.subdist

Fit Semiparametric Proportional 0dds Model for the competing risks subdistribution
pe.sasieni

Fits Proportional excess hazards model with fixed offsets
dynreg

Fit time-varying regression model
mela.pop

Melanoma data and Danish population mortality by age and sex
TRACE

The TRACE study group of myocardial infarction
cd4

The multicenter AIDS cohort study
csl

CSL liver chirrosis data
diabetes

The Diabetic Retinopathy Data
bmt

The Bone Marrow Transplant Data
melanoma

The Melanoma Survival Data