bounds.corr.GSC.NN: Computes the approximate lower and upper bounds of the...
In PoisNonNor: Simultaneous Generation of Count and Continuous Data

Description Usage Arguments Details Value References See Also Examples

This function calculates the approximate lower and upper bounds for all continuous pairs by the method in Demirtas and Hedeker (2011).

1	bounds.corr.GSC.NN(pmat)

pmat

a n2x4 matrix where each row includes the four coefficients (a,b,c,d) of the Fleishman's system.

The approximate correlation bounds are computed via the 'Generate, Sort, and Correlate' (GSC) technique, proposed by Demirtas and Hedeker (2011).

Returns a list with two components

`min`	lower correlation bound matrix
`max`	upper correlation bound matrix

Demirtas, H. and Hedeker, D. (2011). A practical way for computing approximate lower and upper correlation bounds. The American Statistician, 65(2), 104-109.

bounds.corr.GSC.NNP, bounds.corr.GSC.PP

## Not run: 
pmat = matrix(c(
   0.1148643, 1.0899150, -0.1148643, -0.0356926,
  -0.0488138, 0.9203374,  0.0488138,  0.0251256,
  -0.2107427, 1.0398224,  0.2107427, -0.0293247), nrow=3, byrow=TRUE)

bounds.corr.GSC.NN (pmat) 

## End(Not run)