OneParExpPrior-class | R Documentation |
OneParExpPrior
OneParExpPrior
is the class for a standard CRM with an exponential prior
on the power parameter for the skeleton prior probabilities. It is an
implementation of a version of the one-parameter CRM (O’Quigley et al. 1990).
OneParExpPrior(skel_probs, dose_grid, lambda)
.DefaultOneParExpPrior()
skel_probs |
see slot definition. |
dose_grid |
( |
lambda |
see slot definition. |
skel_fun
(function
)
function to calculate the prior DLT probabilities.
skel_fun_inv
(function
)
inverse function of skel_fun
.
skel_probs
(numeric
)
skeleton prior probabilities. This is a vector
of unique and sorted probability values between 0 and 1.
lambda
(number
)
rate parameter of prior exponential distribution
for theta.
Typically, end users will not use the .DefaultOneparExpPrior()
function.
Typically, end users will not use the .DefaultOneParLogNormalPrior()
function.
my_model <- OneParExpPrior(
skel_probs = c(0.1, 0.3, 0.5, 0.7, 0.9),
dose_grid = 1:5,
lambda = 2
)
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