# Compare two logistic/probit regression coefficient using different methods.

### Description

Compare two logistic/probit regression coefficient using different methods.

### Usage

1 2 3 | ```
coefChange(reduced, full, method = "ystand", ratio.type = "perc", R = 1)
compareModels(reduced, full, method = "ystand", ratio.type = "perc")
``` |

### Arguments

`R` |
Integer. If larger than |

`reduced` |
The reduced model. |

`full` |
The full model |

`method` |
Character. The method used to compare coefficients (see details). |

`ratio.type` |
Character specifying how to compare the coefficients. This
should be one of |

### Details

The `compareModels`

function compares the coefficients of two logistic/probit
regressions using different methods.

If

`method="naive"`

, the coefficients are compared without any transformation. This method is mainly provided to highlight the effect of other methods.If

`method="ystand"`

, y-standardization is used to compare the coefficients.If

`method="ape"`

, Coefficients change are computed using average partial effects.Finally, if

`method="khb"`

, the KHB method is used to compare the coefficients accross models.

The `coefChange`

function only compute the change of coefficients using either
the percentage of change or the ratio of change. It can also compute
confidence intervals of this change using bootstrapping.