gmnl: Interfaces for gmnl package for data science pipelines.

In rbertolusso/intubate: Interface to Popular R Functions for Data Science Pipelines

Description

Interfaces to gmnl functions that can be used in a pipeline implemented by magrittr.

Usage

ntbt_gmnl(data, ...)

Arguments

data	data frame, tibble, list, ...
...	Other arguments passed to the corresponding interfaced function.

Details

Interfaces call their corresponding interfaced function.

Value

Object returned by interfaced function.

Author(s)

Roberto Bertolusso

Examples

## Not run: 
library(intubate)
library(magrittr)
library(gmnl)


## ntbt_gmnl: Estimate Multinomial Logit Models with Observed and
##             Unobserved Individual Heterogeneity
data("TravelMode", package = "AER")
library(mlogit)
TM <- mlogit.data(TravelMode, choice = "choice", shape = "long", 
                 alt.levels = c("air", "train", "bus", "car"), chid.var = "individual")

## Original function to interface
gmnl(choice ~ wait + vcost + travel + gcost| 1, data = TM,
     model = "smnl", R = 100,
     notscale = c(1, 1, 1, rep(0, 4)))

## The interface puts data as first parameter
ntbt_gmnl(TM, choice ~ wait + vcost + travel + gcost| 1,
          model = "smnl", R = 100, 
          notscale = c(1, 1, 1, rep(0, 4)))

## so it can be used easily in a pipeline.
TM %>%
  ntbt_gmnl(choice ~ wait + vcost + travel + gcost| 1,
            model = "smnl", R = 100, 
            notscale = c(1, 1, 1, rep(0, 4)))

## End(Not run)

rbertolusso/intubate documentation built on May 27, 2019, 3 a.m.