bandwidth_CI {Compind} | R Documentation |

## Multivariate mixed bandwidth selection for exogenous variables

### Description

A function for the selection of optimal multivariate mixed bandwidths for the kernel density estimation of continuous and discrete exogenous variables.

### Usage

`bandwidth_CI(x, indic_col, ngood, nbad, Q=NULL, Q_ord=NULL)`

### Arguments

`x` |
A data frame containing simple indicators. |

`indic_col` |
Simple indicators column number. |

`ngood` |
The number of desirable outputs; it has to be greater than 0. |

`nbad` |
The number of undesirable outputs; it has to be greater than 0. |

`Q` |
A matrix containing continuous exogenous variables. |

`Q_ord` |
A matrix containing discrete exogenous variables. |

### Details

Author thanks Nicky Rogge for his help and for making available the original code of the bandwidth function.

### Value

`bandwidth` |
A matrix containing the optimal bandwidths for the exogenous variables indicate in Q and Q_ord. |

`ci_method` |
"bandwidth_CI |

### Author(s)

Fusco E., Rogge N.

### Examples

```
data(EU_2020)
indic <- c("employ_2011", "gasemiss_2011","deprived_2011")
dat <- EU_2020[-c(10,18),indic]
Q_GDP <- EU_2020[-c(10,18),"percGDP_2011"]
# Conditional robust BoD Constrained VWR
band = bandwidth_CI(dat, ngood=1, nbad=2, Q = Q_GDP)
```

[Package

*Compind*version 3.1 Index]