TITELogisticLogNormal-class | R Documentation |
TITELogisticLogNormal
TITELogisticLogNormal
is the class for TITE-CRM based on a logistic
regression model using a bivariate normal prior on the intercept and log
slope parameters.
This class inherits from the LogisticLogNormal
.
TITELogisticLogNormal(weight_method = "linear", ...)
.DefaultTITELogisticLogNormal()
weight_method |
( |
... |
Arguments passed on to
|
weight_method
(string
)
the weight function method: either linear
or adaptive. This was used in Liu, Yin and Yuan's paper.
Typically, end users will not use the .DefaultTITELogisticLogNormal()
function.
DALogisticLogNormal
.
my_model <- TITELogisticLogNormal(
mean = c(0, 1),
cov = diag(2),
ref_dose = 1,
weight_method = "linear"
)
my_model1 <- TITELogisticLogNormal(
mean = c(0, 1),
cov = diag(2),
ref_dose = 1,
weight_method = "adaptive"
)
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