bc.binorm {bimixt} R Documentation

## bc.binorm

### Description

Implementation of binormal model. The binormal model estimates a single unimodal component for the cases and a single unimodal component for the controls.

### Usage

```bc.binorm(case, control, lambda.bounds = c(-5, 5))
```

### Arguments

 `case` a numeric vector of case values `control` a numeric vector of control values `lambda.bounds` numeric vector of bounds: `c(upper bound, lower bound)`. Specifies the range for `optim` to search for the optimization of lambda. Default: `c(-5,5)`.

### Value

 `lambda` Box-Cox transformation parameter `type` model type ("binorm") `mu.cases` mean of the Box-Cox transformed case component `sig.cases` standard deviation of the Box-Cox transformed case component `pi.cases` proportion of cases in each case component (always equal to 1 for binorm since all cases are forced into one component) `mu.controls` mean value of the Box-Cox transformed control component `sig.controls` standard deviation of the Box-Cox transformed control component `pi.controls` proportion of controls in each control component (always equal to 1 for binorm since all controls are forced into one component) `max.loglike` the maximum log likelihood value for the model `case` original case values `control` original control values `mu.cases.unt` an estimate of the untransformed mean of the case component. Based on Monte Carlo simulations. Values will differ by computer seed. `sig.cases.unt` an estimate of the untransformed standard deviation of the case component. Based on Monte Carlo simulations. Values will differ by computer seed. `mu.controls.unt` an estimate of the untransformed mean of the control component. Based on Monte Carlo simulations. Values will differ by computer seed. `sig.controls.unt` an estimate of the untransformed standard deviation of the control component. Based on Monte Carlo simulations. Values will differ by computer seed.

### Author(s)

Michelle Winerip, Garrick Wallstrom, Joshua LaBaer

`bc.twocomp` `bc.fourcomp` `em.twocomp.m1` `em.twocomp.m2` `em.twocomp.m3`