LogisticLogNormalSub — LogisticLogNormalSub-class • crmPack

LogisticLogNormalSub is the class for a standard logistic model with bivariate (log) normal prior with subtractive dose standardization.

Usage

LogisticLogNormalSub(mean, cov, ref_dose = 0)

.DefaultLogisticLogNormalSub()

Arguments

mean: (numeric)
the prior mean vector.
cov: (matrix)
the prior covariance matrix. The precision matrix prec is internally calculated as an inverse of cov.
ref_dose: (number)
the reference dose $x*$.

Details

The covariate is the dose $x$ minus the reference dose $x*$, i.e.: $$logit[p(x)] = alpha0 + alpha1 * (x - x*),$$ where $p(x)$ is the probability of observing a DLT for a given dose $x$. The prior $$(alpha0, log(alpha1)) ~ Normal(mean, cov).$$

Slots

params: (ModelParamsNormal)
bivariate normal prior parameters.
ref_dose: (number)
the reference dose $x*$.

Note

Typically, end-users will not use the .DefaultLogisticLogNormalSub() function.

Examples

my_model <- LogisticLogNormalSub(
  mean = c(-0.85, 1),
  cov = matrix(c(1, -0.5, -0.5, 1), nrow = 2),
  ref_dose = 50
)

`LogisticLogNormalSub`