modelinf.fun {BayesianPlatformDesignTimeTrend} | R Documentation |

This function summarize the input parameters describing the model for analysis and transfer them into a list

```
modelinf.fun(
model = "tlr",
ibb.inf = list(pi.star = 0.5, pess = 2, betabinomialmodel = ibetabinomial.post),
tlr.inf = list(beta0_prior_mu = 0, beta1_prior_mu = 0, beta0_prior_sigma = 2.5,
beta1_prior_sigma = 2.5, beta0_df = 7, beta1_df = 7, reg.inf = "main", variable.inf =
"Fixeffect")
)
```

`model` |
The statistical model. ibb: betabinomial model / tlr: logistic model |

`ibb.inf` |
The list of information for betabinomial model including: betabinomialmodel: The betabinomial model, pi.star: prior response rate, pess: prior effective sample size |

`tlr.inf` |
The list of information for logistic model including: The mean (mu), variance (sigma), degree of freedom (df) of the intercept and the main effect of the linear terms in logistic model. reg.inf: The type of linear function in logistic model. variable.inf: Fixeffect/Mixeffect. Indicating whether a mix effect model is used (for time trend effect modelling) |

A list of model information including model, ibb.inf and tlr.inf

Ziyan Wang

```
modelinf.fun(model = "tlr",
ibb.inf = list(pi.star = 0.5,
pess = 2,
betabinomialmodel = ibetabinomial.post),
tlr.inf = list(beta0_prior_mu = 0,
beta1_prior_mu = 0,
beta0_prior_sigma = 2.5,
beta1_prior_sigma = 2.5,
beta0_df = 7,
beta1_df = 7,
reg.inf = "main",
variable.inf = "Fixeffect"
))
```

[Package *BayesianPlatformDesignTimeTrend* version 1.1.3 Index]