update_Poisson {kDGLM} | R Documentation |
update_Poisson
Description
Calculate posterior parameter for the Gamma, assuming that the observed values came from a Poisson model from which the rate parameter (lambda) have prior distribution Gamma.
Usage
update_Poisson(conj.param, ft, Qt, y, parms)
Arguments
conj.param |
list: A vector containing the parameters of the Gamma (alpha,beta). |
ft |
numeric: A vector representing the means from the normal distribution. Not used in the default method. |
Qt |
matrix: A matrix representing the covariance matrix of the normal distribution. Not used in the default method. |
y |
numeric: A vector containing the observations. |
parms |
list: A list of extra known parameters of the distribution. Not used in this kernel. |
Value
The parameters of the posterior distribution.
See Also
Other auxiliary functions for a Poisson outcome:
convert_Normal_Poisson()
,
convert_Poisson_Normal()
,
poisson_pred()
[Package kDGLM version 1.2.0 Index]