The HazReg R package implements the following parametric hazard-based regression models for survival data, in the overall and relative survival frameworks.
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General Hazard (GH) model.
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Accelerated Failure Time (AFT) model.
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Proportional Hazards (PH) model.
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Accelerated Hazards (AH) model.
These models are fitted using the R commands nlminb and optim. Thus, the user needs to specify the initial points and to check the convergence of the optimisation step, as usual.
The current version of the HazReg R package implements the following parametric baseline hazards for the models discussed in the previous section, using the commands GHMLE and GEHMLE.
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Power Generalised Weibull (PGW) distribution.
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Exponentiated Weibull (EW) distribution.
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Generalised Gamma (GenGamma) distribuiton.
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Gamma (Gamma) distribution.
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Lognormal (LogNormal) distribution.
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Log-logistic (LogLogistic) distribution.
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Weibull (Weibull) distribution. (only for AFT, PH, and AH models)
All positive parameters are transformed into the real line using a log link (reparameterisation).
An Illustrative example and a description of the available models can be found at:
- HazReg: Parametric Hazard-based regression models for survival data [RPubs]
- HazReg: Parametric Hazard-based regression models for survival data [quarto-pub]
- HazReg: Parametric Excess Hazard-based regression models for survival data
- simGH: simulating times to event from a general hazard structure
library(devtools)
install_github("FJRubio67/HazReg")
library(HazReg)
?GHMLE
?GEHMLE
?hpgw
?hggama
?simGH