Description

todo: describe the model

Slots

mu

For the probit toxicity model, mu contains the prior mean vector

Sigma

For the probit toxicity model, contains the prior covariance matrix

sigma2betaW

For the biomarker model, contains the prior variance factor of the random walk prior. If it is not a single number, it can also contain a vector with elements a and b for the inverse-gamma prior on sigma2betaW.

sigma2W

Either a fixed value for the biomarker variance, or a vector with elements a and b for the inverse-gamma prior parameters.

rho

Either a fixed value for the correlation (between -1 and 1), or a vector with elements a and b for the Beta prior on the transformation kappa = (rho + 1) / 2, which is in (0, 1). For example, a=1,b=1 leads to a uniform prior on rho.

useRW1

for specifying the random walk prior on the biomarker level: if TRUE, RW1 is used, otherwise RW2.

useFixed

a list with logical value for each of the three parameters sigma2betaW, sigma2W and rho indicating whether a fixed value is used or not.