intercor.NNP: Computes the subset of the intermediate correlation matrix...
In PoisNonNor: Simultaneous Generation of Count and Continuous Data

Description Usage Arguments Details Value References Examples

This function computes the submatrix of the intermediate correlation matrix of the multivariate normal distribution. It is relevant to the count-continuous part of the data.

1	intercor.NNP(lamvec, cmat, pmat)

`lamvec`	a vector of lambda values of length n1.
`cmat`	a (n1+n2)x(n1+n2) matrix of specified correlations.
`pmat`	a n2x4 matrix where each row includes the four coefficients (a,b,c,d) of the Fleishman's system.

Calculations are done by combining the methods described in Demirtas, Hedeker and Mermelstein (2012) and Amatya and Demirtas (2017).

Returns an intermediate correlation matrix of size n1 x n2

Amatya, A. and Demirtas, H. (2017). PoisNor: An R package for generation of multivariate data with Poisson and normal marginals. Communications in Statistics–Simulation and Computation, 46(3), 2241-2253.

Demirtas, H., Hedeker, D. and Mermelstein, R.J. (2012). Simulation of massive public health data by power polynomials. Statistics in Medicine, 31(27), 3337-3346.

## 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)

lamvec = c(0.5,0.7,0.9)

cmat = matrix(c(
  0.342,  0.090, 0.141,
  0.297, -0.022, 0.177,
 0.294, -0.044, 0.129), nrow=3, byrow=TRUE)

intercor.NNP(lamvec, cmat, pmat)

## End(Not run)