LogisticLogNormalSub-class: 'LogisticLogNormalSub'

In Roche/crmPack: Object-Oriented Implementation of CRM Designs

LogisticLogNormalSub

Description

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.

See Also

LogisticNormal, LogisticLogNormal, ProbitLogNormal, ProbitLogNormalRel.

Examples

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

Roche/crmPack documentation built on April 30, 2024, 3:19 p.m.