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This is probit regression model with a bivariate normal prior on
the intercept and log slope.
The covariate is the dose
mu
the prior mean vector
Sigma
the prior covariance matrix
refDose
the reference dose
useLogDose
should the log of (standardized) dose be used?
useLogDose
is TRUE
.
Here
The prior is
The slots of this class contain the mean vector and the covariance matrix of the bivariate normal distribution, as well as the reference dose. Note that the parametrization inside the class uses alpha0 and alpha1.
This model is also used in the DualEndpoint
classes,
so this class can be used to check the prior assumptions on the dose-toxicity
model - even when sampling from the prior distribution of the dual endpoint model
is not possible.
model <- ProbitLogNormal(mu = c(-0.85, 1),
Sigma = matrix(c(1, -0.5, -0.5, 1), nrow = 2))
## we can also specify a reference dose, and use a log transformation of
## standardized dose in the model:
model <- ProbitLogNormal(mu = c(-0.85, 1),
Sigma = matrix(c(1, -0.5, -0.5, 1), nrow = 2),
refDose = 7.2,
useLogDose=TRUE)
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