Functionality for the eventPrediction Package

An S4 class containing a fitted survival model obtained from JAGS of an Eventdata object

shape.init: Initial value for shape parameter.
shape.min: The shape parameter prior is uniformly distributed between [shape.min, shape.max].
shape.max: The shape parameter prior is uniformly distributed between [shape.min, shape.max].
ctrl.median: Control median [months]
hr: Hazard ratio
mixture.min: The minimum mixture coefficient, e.g. randomization balance (boundary of uniform distribution), prior is uniformly distributed between [mixture.min, mixture.max]
mixture.max: The maximum mixture coefficient, e.g. randomization balance (boundary of uniform distribution), prior is uniformly distributed between [mixture.min, mixture.max]
scale.sd.min: The minimum standard deviation of the log(scale) (0.5), prior is uniformly distributed between [scale.sd.min, scale.sd.max]
scale.sd.max: The maximum standard deviation of the log(scale) (2), prior is uniformly distributed between [scale.sd.min, scale.sd.max]

scientific-computing-solutions/eventTools documentation built on May 29, 2019, 3:44 p.m.

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