dinvwish_chol gives the density and rinvwish_chol generates random deviates.
Arguments
x
vector of values.
cholesky
upper-triangular Cholesky factor of either the scale matrix (when scale_param is TRUE) or rate matrix (otherwise).
df
degrees of freedom.
scale_param
logical; if TRUE the Cholesky factor is that of the scale matrix; otherwise, of the rate matrix.
log
logical; if TRUE, probability density is returned on the log scale.
n
number of observations (only n=1 is handled currently).
Author
Christopher Paciorek
Details
See Gelman et al., Appendix A for mathematical details. The rate matrix as used here is defined as the inverse of the scale matrix, \(S^{-1}\), given in Gelman et al.
References
Gelman, A., Carlin, J.B., Stern, H.S., and Rubin, D.B. (2004) Bayesian Data Analysis, 2nd ed. Chapman and Hall/CRC.