intercor.PP {PoisNonNor} | R Documentation |
Computes the subset of the intermediate correlation matrix that is pertinent to the count pairs
Description
This function computes the submatrix of the intermediate correlation matrix of the multivariate normal distribution. It is relevant to the count part of the data.
Usage
intercor.PP(lamvec, cmat)
Arguments
lamvec |
a vector of lambda values of length n1. |
cmat |
a n1xn1 matrix of specified correlations. |
Details
Calculations are done by combining the methods described in Yahav and Shumeli (2012) and Amatya and Demirtas (2017).
Value
Returns an intermediate matrix of size n1xn1.
References
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.
Yahav, I. and Shmueli, G. (2012). On generating multivariate poisson data in management science applications. Applied Stochastic Models in Business and Industry, 28(1), 91-102.
Examples
## Not run:
lamvec = c(0.5,0.7,0.9)
cmat = matrix(c(
1.000, 0.352, 0.265,
0.352, 1.000, 0.121,
0.265, 0.121, 1.000), nrow=3, byrow=TRUE)
intercor.PP(lamvec, cmat)
## End(Not run)