Description Usage Arguments Details Value References See Also Examples

This function estimates a beta regression model and calculates the corresponding marginal effects.

1 2 3 |

`formula` |
an object of class “formula” (or one that can be coerced to that class). |

`data` |
the data frame containing these data. This argument must be used. |

`atmean` |
default marginal effects represent the partial effects for the average observation.
If |

`robust` |
if |

`clustervar1` |
a character value naming the first cluster on which to adjust the standard errors. |

`clustervar2` |
a character value naming the second cluster on which to adjust the standard errors for two-way clustering. |

`control` |
a list of control arguments specified via |

`link.phi` |
as in the |

`type` |
as in the |

The underlying link function in the mean model (mu) is “logit”. If both `robust=TRUE`

and
`!is.null(clustervar1)`

the function overrides the `robust`

command and computes clustered
standard errors.

`mfxest` |
a coefficient matrix with columns containing the estimates, associated standard errors, test statistics and p-values. |

`fit` |
the fitted |

`dcvar` |
a character vector containing the variable names where the marginal effect refers to the impact of a discrete change on the outcome. For example, a factor variable. |

`call` |
the matched call. |

Francisco Cribari-Neto, Achim Zeileis (2010). Beta Regression in R. Journal of Statistical Software 34(2), 1-24.

Bettina Gruen, Ioannis Kosmidis, Achim Zeileis (2012). Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned. Journal of Statistical Software, 48(11), 1-25.

1 2 3 4 5 6 7 8 9 10 11 12 |

```
Loading required package: sandwich
Loading required package: lmtest
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Loading required package: MASS
Loading required package: betareg
Call:
betamfx(formula = y ~ x | x, data = data)
Marginal Effects:
dF/dx Std. Err. z P>|z|
x 0.0225862 0.0080137 2.8184 0.004826 **
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
```

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