fixed0 | R Documentation |
Internal function called by function zoib; Fits a fixed-effects beta regression a response variable bounded within [0, 1).
fixed0(y, n, xmu.1, p.xmu, xsum.1, p.xsum, x0.1, p.x0, prior1, prec.int, prec.DN,
lambda.L1, lambda.L2, lambda.ARD, link, n.chain,inits, seed)
y |
A univariate response variable taking value from [0, 1). |
n |
Number of rows in the data set. |
xmu.1 |
Design matrix associated with the fixed effects in linear predictor of g(mean of the beta piece), where g is the link funciton. |
p.xmu |
Number of columns in xmu.1. |
xsum.1 |
Design matrix associated with the fixed effects in linear predictor of the log(dispersion parameter of the beta piece). |
p.xsum |
Number of columns in xsum.1. |
x0.1 |
Design matrix associated with the fixed effects in linear predictor of g(Pr(y=0)), where g is the link funciton. |
p.x0 |
Number of columns in x0.1. |
prior1 |
Internally created variable(a vector of dimension 4). Prior choice for the regression coefficients in the 4 linear predictors of the 4 link functions. |
prec.int |
The precision parmaeter of the prior distributions (diffuse normal) of the intercepts in the linear predictors. |
prec.DN |
The precision in the prior distributions of the regression coefficients in the linear predictors if the 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. |
link |
Internally created variable containing the information on the choice of link functions. |
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 (fang.liu.131@nd.edu)
See Also as zoib
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