ModelLogNormal-class: 'ModelLogNormal'
In 0liver0815/onc-crmpack-test: Object-Oriented Implementation of CRM Designs

Description Usage Arguments Slots See Also

ModelLogNormal is the class for a model with a reference dose and bivariate normal prior on the model parameters alpha0 and natural logarithm of alpha1, i.e.:

(alpha0, log(alpha1)) ~ Normal(mean, cov),

. Transformations other than log, e.g. identity, can be specified too in priormodel slot. The parameter alpha1 has a log-normal distribution by default to ensure positivity of alpha1 which further guarantees exp(alpha1) > 1. The slots of this class contain the mean vector, the covariance and precision matrices of the bivariate normal distribution, as well as the reference dose. Note that the precision matrix is an inverse of the covariance matrix in the JAGS. All ("normal") model specific classes inherit from this class.

1	ModelLogNormal(mean, cov, ref_dose = 0)

`mean`	(`numeric`) the prior mean vector.
`cov`	(`matrix`) the prior covariance matrix.
`ref_dose`	(`number`) the reference dose.

mean: (numeric)
the prior mean vector.
cov: (matrix)
the prior covariance matrix.
prec: the prior precision matrix, which is an inverse matrix of the cov.
ref_dose: (number)
the reference dose.