Change Parameterizations of the Generalized Inverse Gaussian Distribution
This function interchanges between the following 4 parameterizations of the generalized inverse Gaussian distribution:
See (1982) and Dagpunar (1989)
gigChangePars(from, to, Theta, noNames = FALSE)
from
: The set of parameters to change from.to
: The set of parameters to change to.Theta
: ‘from’ parameter vector consisting of 3 numerical elements.noNames
: Logical. When TRUE
, suppresses the parameter names
in the output.The range of is the whole real line. In each parameterization, the other two parameters must take positive values.
A numerical vector of length 3 representing Theta
in the ‘to’ parameterization.
, B. (1982). Statistical Properties of the Generalized Inverse Gaussian Distribution. Lecture Notes in Statistics, Vol. 9, Springer-Verlag, New York.
Dagpunar, J. S. (1989). An easily implemented generalised inverse Gaussian generator, Commun. Statist.---Simula., 18 , 703--710.
David Scott d.scott@auckland.ac.nz
dgig
Theta1 <- c(-0.5,5,2.5) # Parameterisation 1 Theta2 <- gigChangePars(1, 2, Theta1) # Convert to parameterization 2 Theta2 # Parameterization 2 gigChangePars(2, 1, as.numeric(Theta2)) # Convert back to parameterization 1