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Last data update: 2014.03.03

R: Computes the subset of the intermediate correlation matrix...

intercor.NNP

R Documentation

Computes the subset of the intermediate correlation matrix that is pertinent to the count-continuous pairs

Description

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.

Usage

intercor.NNP(lamvec, cmat, pmat)

Arguments

`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.

Details

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

Value

Returns an intermediate correlation matrix of size n1 x n2

References

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

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.

Examples

## 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)