summary.bic.mlogit: Summary and Plotting Functions

Description Usage Arguments Details Author(s) See Also Examples

Description

Summarizes and plots results of the bic.mlogit function.

Usage

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## S3 method for class 'bic.mlogit'
summary(object, ...)

## S3 method for class 'bic.mlogit'
plot(x, ...)

imageplot.mlogit (x , ...)

Arguments

object, x

Object of class bic.mlogit.

...

Arguments passed to the underlying functions.

Details

summary prints a summary of object, using the BMA function summary.bic.glm. It also prints a summary of the model specification, using summary.mnl.spec.

plot produces a plot of the posterior distribution of the coefficients produced by model averaging. It uses the BMA function plot.bic.glm.

imageplot.mlogit creates an image of the selected models, using the BMA function imageplot.bma.

Author(s)

Hana Sevcikova

See Also

bic.mlogit

Examples

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# See example in bic.mlogit 

Example output

Loading required package: BMA
Loading required package: survival
Loading required package: leaps
Loading required package: robustbase

Attaching package: 'robustbase'

The following object is masked from 'package:survival':

    heart

Loading required package: inline
Loading required package: rrcov
Scalable Robust Estimators with High Breakdown Point (version 1.4-7)

Loading required package: abind
Loading required package: maxLik
Loading required package: miscTools

Attaching package: 'miscTools'

The following objects are masked from 'package:robustbase':

    colMedians, rowMedians


Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.

If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/

mlogitBMA documentation built on May 2, 2019, 11:26 a.m.