Description Usage Arguments Value Author(s) Examples

View source: R/DAMisc_functions.R

Calculates average effects of a variable in multinomial logistic regression holding all other variables at observed values.

1 | ```
mnlChange2(obj, varnames, data, diffchange = c("unit", "sd"), R = 1500)
``` |

`obj` |
An object of class |

`varnames` |
A string identifying the variable to be manipulated. |

`data` |
Data frame used to fit |

`diffchange` |
A string indicating the difference in predictor values to calculate the discrete change. |

`R` |
Number of simulations. |

A list with elements:

`mean` |
Average effect of the variable for each category of the dependent variable. |

`lower` |
Lower 95 percent confidence bound |

`upper` |
Upper 95 percent confidence bound |

Dave Armstrong (UW-Milwaukee, Department of Political Science)

1 2 3 4 |

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