dpostg: Posterior value of gamma

Description

Propose a value for posterior distribution of the gamma parameter

Usage

dpostg(y,x,z,betas,gammas,gpri,Gpri,model,m)

Arguments

object of class matrix, with the dependent variable

object of class matrix, with the variables for modelling the mean

object of class matrix, with the variables for modelling the variance

betas

a vector with the previous proposal beta parameters

gammas

a vector with the previous proposal gamma parameters

gpri

a vector with the initial values of gamma

Gpri

a matrix with the initial values of the variance of gamma

model

it indicates the model that will be used. By default, is the Beta Binomial model (BB), but it could also be the Negative Binomial with mean and shape (NB1) or the Negative Binomial with mean and variance (NB2).

It is positive integer that In the Beta Binomial model indicates the number of trials. By default, is the number of data

Value

Details

Generate a proposal for the beta parameter according to the model proposed by Cepeda(2001) and Cepeda and Gamerman(2005).

References

1. Cepeda C. E. (2001). Modelagem da variabilidade em modelos lineares generalizados. Unpublished Ph.D. tesis. Instituto de Matematicas. Universidade Federal do Rio do Janeiro. //http://www.docentes.unal.edu.co/ecepedac/docs/MODELAGEM20DA20VARIABILIDADE.pdf. http://www.bdigital.unal.edu.co/9394/. 2.Cepeda, E. C. and Gamerman D. (2005). Bayesian Methodology for modeling parameters in the two-parameter exponential family. Estadistica 57, 93 105. // 3.Cepeda, E. and Garrido, L. (2011). Bayesian beta regression models: joint mean and precision modeling. Universidad Nacional // 4.Cepeda, E. and Migon, H. and Garrido, L. and Achcar, J. (2012) Generalized Linear models with random effects in the two parameter exponential family. Journal of Statistical Computation and Simulation. 1, 1 13. // 5.Cepeda-Cuervo, E. and Cifuentes-Amado, V. (2016) Double generalized beta-binomial and negative binomial regression. To appear.