paramEst {BayesSenMC} R Documentation

## Parameter estimates of the GLMM model

### Description

Get parameter estimates of the GLMM model to plug into modeling functions in `BayesSenMC` for Bayesian inference of adjusted odds ratio.

### Usage

```paramEst(model, lower = 0.5, upper = 1)
```

### Arguments

 `model` a GLMM model built with the `nlmeNDiff()` function. `lower` an optional argument matching the lower bound assumption of Se and Sp of the input `model`. Default to 0.5 as in `nlmeNDiff()`. `upper` an optional argument matching the upper bound assumption of Se and Sp. Default to 1 as in `nlmeNDiff`.

### Value

It returns a list of parameter estimates which can be input into the Bayesian model functions in `BayesSenMC`. `(m.lg.se, s.lg.se)` and `(m.lg.sp, s.lg.sp)` are the logit prior distributions for Se and Sp. `se` and `sp` are the corresponding mean values given the logit prior means. `rho` is the correlation estimate between Se and Sp. `m.fisher` is the Fisher's mean of the correlation assume a Fisher's distribution.

### Examples

```data(bd_meta)

mod <- nlmeNDiff(bd_meta, lower = 0) # see \code{nlmeNDiff()} for detailed example.
prior_list <- paramEst(mod)
```

[Package BayesSenMC version 0.1.4 Index]