##### https://github.com/cran/mvtBinaryEP

Revision

**bd876c4c9cc813f7c7b610832fa2793c250504d0**authored by Kunthel By on**25 January 2011, 00:00:00 UTC**, committed by Gabor Csardi on**25 January 2011, 00:00:00 UTC****1 parent**e03023d

Tip revision:

**bd876c4c9cc813f7c7b610832fa2793c250504d0**authored by**Kunthel By**on**25 January 2011, 00:00:00 UTC****version 1.0.1** Tip revision:

**bd876c4** ep.R

```
`ep` <-
function(mu, R, rho, n, isd=NULL, nRep=1, seed=NULL, crit=1e-6, maxiter=20)
{
if (nRep < 1 ) stop("Number of replications must be at least 1")
if (crit <= 0 ) stop("Precision criterion must be greater than zero")
if (maxiter < 1) stop("Maximum number of iterations must be at least 1")
if ( missing(mu) )
{
# If ISD is present, then use it!
if ( !is.null(isd) )
{
#Making default response names.
if ( !is.null(isd$n) ) {lgth <- n }
else {lgth <- length( isd$mu) }
cnames <- rep(NA, lgth)
for (i in 1:lgth){ cnames[i] <- paste("y", i, sep="") }
y <- matrix( isd.to.y(isd=isd, nRep=nRep, crit=crit, maxiter=maxiter, seed=seed),ncol=length(isd$mu) )
rownames(y) <- 1:nrow(y)
colnames(y) <- cnames
return( list(y=data.frame(y), isd=isd) )
}
else {stop("mu is a required argument")}
}
# BEGIN: generating default response names .
if ( !missing(n) ) { m <- n }
else { m <- length(mu) }
cnames <- rep(NA, m)
for(i in 1:m)
{
cnames[i] <- paste("y", i, sep="")
}
# END: generating default response names .
if ( (any(mu < 0) ) | (any(mu > 1 ) ) ) stop("The vector `mu' is out of range or degenerate")
if ( (any(mu == 0) ) | (any(mu == 1) ) ) warning("At least one member of mu is degenerate (0 or 1)")
# If rho is specified, then use it!
if ( !missing(rho) )
{
if((rho > 1) | (rho < -1)) { stop("Your correlation must adhere to -1 <= rho <= 1 ") }
if (missing(n)) {stop("The cluster size ``n'' is needed")}
if (length(mu) > 1){stop("``mu'' must be a vector of length 1")}
isd1 <- isd( mu=mu, rho=rho, p=n, crit=crit, maxiter=maxiter )
y <- isd.to.y(isd=isd1, nRep=nRep, crit=crit, maxiter=maxiter, seed=seed)
rownames(y) <- 1:nrow(y)
colnames(y) <- cnames
return(list(y=y, isd=isd1))
}
# If R is specified, then use it!
if (!missing(R))
{
isd1 <- isd( mu=mu, R=R, crit=crit, maxiter=maxiter )
y <- isd.to.y(isd=isd1, nRep=nRep, crit=crit, maxiter=maxiter, seed=seed)
rownames(y) <- 1:nrow(y)
colnames(y) <- cnames
return(list(y=y, isd=isd1))
}
else
{
stop("You need to provide either `rho', `R', or `isd' ")
}
}
```

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