PriorAndInitValues: PriorAndInitsMixture constructor

In scientific-computing-solutions/eventTools: Additional Extensions/Functionality for the eventPrediction Package

Description

Creates a PriorAndInitsMixture object. These are guesses of the original parameters based on (protocol) assumptions.

Usage

PriorAndInitValues(shape.init, shape.min, shape.max, ctrl.median, hr,
  mixture.min, mixture.max, scale.sd.min = 0.9, scale.sd.max = 1.1)

Arguments

shape.init	Initial value of the 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.