Description Objects from the Class Slots Methods Examples
This is the s4 class for Binomial two endpoint designs with frequentist and Bayesian properties.
Objects can be created by calls of the form new("trialDesign_binom_two", ...)
.
reviews
:Object of class "numeric"
, a vector of the number of patients each interim analysis will occur at
data
:Object of class "data.frame"
, exact simulation values for each scenario
cutpoints
:Object of class "data.frame"
, the most extreme cutpoints when cause the trial to stop on their own (ignoring interaction with the other endpoint)
precision
:Object of class "numeric"
, should be a vector of ones confirming probability is all accounted for
decision
:Object of class "list"
, a list of matrices for the decisions to be made at each interim analysis
post.futility
, post.efficacy
, post.toxicity
, post.no_toxicity
:Object of class "numeric"
, The posterior probabilities of the design
graph
:Object of class "list"
, an optional argument to pass to plot for the ploting of the first graph
Exact simulation values for each scenario
signature(x = "trialDesign_binom_two", y = "ANY")
: ...
signature(x = "trialDesign_binom_two")
: ...
signature(object = "trialDesign_binom_two")
: ...
1 | showClass("trialDesign_binom_two")
|
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