cdtamodel | R Documentation |
Specify the copula based bivariate beta-binomial distribution to fit to the diagnostic data.
cdtamodel(copula, modelargs = list())
copula |
a description of the copula function used to model the correlation between sensitivity and specificity. This is a string naming the copula function. The choices are "fgm", "frank", "gauss", "c90" and "c270". |
modelargs |
a (optional) list of control parameter for the prior distributions. The parameters in the list include:
|
An object of cdtamodel class.
Victoria N Nyaga
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data(telomerase) model1 <- cdtamodel(copula = 'fgm') model2 <- cdtamodel(copula = 'fgm', modelargs=list(param=2, prior.lse='normal', par.lse1=0, par.lse2=5, prior.lsp='normal', par.lsp1=0, par.lsp2=5)) model3 <- cdtamodel(copula = 'fgm', modelargs = list(formula.se = StudyID ~ Test - 1))
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