Description Usage Arguments Value Author(s) See Also
Internal function to be called by function zoib. Jointly models multiple (0,1)-bounded variables with no inflation at 0 or 1 when there is a single random variable in the linear predictors of the link function.
1 2 3 |
y |
>=2 response variables taking value from (0, 1]. |
n |
Number of rows in the data set. |
q |
Number of response variables. |
xmu.1 |
Design matrix associated with the fixed effects in the linear predictor of g(mean of the beta piece), where g() is a link function. |
p.xmu |
Number of columns in xmu.1. |
xsum.1 |
Design matrix associated with fixed effects in linear predictor of the log(dispersion parameter of the beta piece). |
p.xsum |
Number of columns in xsum.1. |
rid |
A vector containing information on which linear predictor contains a random component. |
EUID |
Listing of the experimental units ID for each row of the data set |
nEU |
Number of experimental units |
prior1 |
A vector containing information on the prior Prior choice for the regression coefficients in each of the 4 linear predictors of the 4 link functions. |
prior2 |
A matrix containing information on the prior choice for the covariance structure of the random variables. |
prior.beta |
Prior choice for the regression coefficients in each of the 4 link functions (a vector of dim = 4). |
prior.Sigma |
Prior choice for the Covariance structure of the random variables. |
prec.int |
The precision parameter of the prior distributions (diffuse normal) of the intercepts in the linear predictors. |
prec.DN |
The precision parameter of the prior distributions of the regression coefficients in the linear predictors if diffuse normal prior is chosen. |
lambda.ARD |
The scale parameter in the prior distributions of the regression coefficients in the linear predictors if the ARD prior is chosen. |
lambda.L1 |
The scale parameter in the prior distributions of the regression coefficients in the linear predictors if the L1-like prior is chosen. |
lambda.L2 |
The scale parameter in the prior distributions of the regression coefficients in the linear predictors if the L2-like prior is chosen. |
scale.unif |
The upper bound of the uniform distribution for the standard deviation of each random variable |
scale.halft |
The scale parameter of the half-Cauchy distribution for the standard deviation of each random variable |
link |
A vector containing information on the choice of link function for the mean of the beta piece. |
n.chain |
Number of chains for the MCMC sampling. |
inits |
initial parameter for model parameters. |
seed |
seeds for results reproducibility |
Internal function. Returned values are used internally
Fang Liu ([email protected])
See Also as zoib
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