createFastBarPrior {BrokenAdaptiveRidge} | R Documentation |

## Create a fastBAR Cyclops prior object

### Description

`createFastBarPrior`

creates a fastBAR Cyclops prior object for use with `fitCyclopsModel`

.

### Usage

```
createFastBarPrior(
penalty = 0,
exclude = c(),
forceIntercept = FALSE,
fitBestSubset = FALSE,
initialRidgeVariance = 10000,
tolerance = 1e-08,
maxIterations = 10000,
threshold = 1e-06
)
```

### Arguments

`penalty` |
Specifies the BAR penalty |

`exclude` |
A vector of numbers or covariateId names to exclude from prior |

`forceIntercept` |
Logical: Force intercept coefficient into regularization |

`fitBestSubset` |
Logical: Fit final subset with no regularization |

`initialRidgeVariance` |
Numeric: variance used for algorithm initiation |

`tolerance` |
Numeric: maximum abs change in coefficient estimates from successive iterations to achieve convergence |

`maxIterations` |
Numeric: maximum iterations to achieve convergence |

`threshold` |
Numeric: absolute threshold at which to force coefficient to 0 |

### Value

A BAR Cyclops prior object of class inheriting from
`"cyclopsPrior"`

for use with `fitCyclopsModel`

.

### Examples

```
nobs = 500; ncovs = 100
prior <- createFastBarPrior(penalty = log(ncovs), initialRidgeVariance = 1 / log(ncovs))
```

[Package

*BrokenAdaptiveRidge*version 1.0.0 Index]