Description Usage Arguments Value Author(s) See Also

Internal function called by function zoib; Fits a fixed-effects beta regression a response variable bounded within [0, 1).

1 2 | ```
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 ([email protected])

See Also as `zoib`

zoib documentation built on April 7, 2018, 9:03 a.m.

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