Simulate Joint Binary Probabilities
Compute common probabilities of binary random variates generated by thresholding normal variates at 0.
simul.commonprob(margprob, corr=0, method="integrate", n1=10^5, n2=10)
vector of marginal probabilities.
vector of correlation values for normal distribution.
number of normal variates if method is
number of repetitions if method is
The output of this function is used by
rmvbin. For all
corr[k], the probability that both components of a normal
random variable with mean
corr[k] are larger than zero is computed.
The probabilities are either computed by numerical integration of the multivariate normal density, or by Monte Carlo simulation.
For normal usage of
rmvbin it is not necessary to use
this function, one simulation result is provided as variable
SimulVals in this package and loaded by default.
simul.commonprob returns an array of dimension
c(length(margprob), length(margprob), length(corr)).
Friedrich Leisch, Andreas Weingessel and Kurt Hornik (1998). On the generation of correlated artificial binary data. Working Paper Series, SFB “Adaptive Information Systems and Modelling in Economics and Management Science”, Vienna University of Economics, http://www.wu-wien.ac.at/am
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