coef.BranchGLMVS {BranchGLM} | R Documentation |

## Extract Coefficients from BranchGLMVS or summary.BranchGLMVS Objects

### Description

Extracts beta coefficients from BranchGLMVS or summary.BranchGLMVS objects.

### Usage

```
## S3 method for class 'BranchGLMVS'
coef(object, which = 1, ...)
## S3 method for class 'summary.BranchGLMVS'
coef(object, which = 1, ...)
```

### Arguments

`object` |
a |

`which` |
a numeric vector of indices or "all" to indicate which models to get coefficients from, the default is 1 which is used for the best model. For the branch and bound algorithms the number k is used for the kth best model and for the stepwise algorithms the number k is used for the model that is k - 1 steps away from the final model. |

`...` |
ignored. |

### Value

A numeric matrix with the corresponding coefficient estimates.

### Examples

```
Data <- iris
Fit <- BranchGLM(Sepal.Length ~ ., data = Data,
family = "gaussian", link = "identity")
# Doing branch and bound selection
VS <- VariableSelection(Fit, type = "branch and bound", metric = "BIC",
bestmodels = 10, showprogress = FALSE)
## Getting coefficients from best model
coef(VS, which = 1)
## Getting coefficients from all best models
coef(VS, which = "all")
```

[Package

*BranchGLM*version 2.1.5 Index]