[R] Creation of mlogit models from text file

[Bhargava Sana]

Michael,

Thanks for the quick response. I currently have a few models that have been estimated using Biogeme. I have attached a sample output file from the estimation.

I am more concerned about creating a model object from scratch rather than the reading part. Let us just say if we have a list of variables, coefficients, and std errors, how can an R model object be created (so that it can be used for prediction on an R data frame)? I read in the mlogit documentation that a model is created using an estimation dataset and formula. I was wondering if there have been previous attempts to setup a model object without estimating it in R just based on some character variables.

Bhargava

-----Original Message-----
From: R. Michael Weylandt [mailto:michael.weylandt at gmail.com] 
Sent: Monday, October 17, 2011 11:44 AM
To: Bhargava Sana
Cc: r-help at r-project.org
Subject: Re: [R] Creation of mlogit models from text file

You're going to have to say more about your text file if you want
meaningful help: specifically, what is in the file: data, output from
other software, etc?

There are probably two questions to deal with here: reading in
whatever is in the text file and mapping it to the correct R object
and setting up the mlogit model. For the reading part, try
read.table() or readLines depending on the formatting. For the mlogit,
look at the mlogit package available on CRAN.

Michael

On Mon, Oct 17, 2011 at 10:52 AM, Bhargava Sana
<Bhargava.Sana at rsginc.com> wrote:
> Hello all,
>
> Has anyone tried to create an R mlogit model object from a text file? If yes, what would be the best way to do it? I already have models that have been estimated using other software and would like to use R to help me make predictions for new data.
>
> Thank you!
>
> Bhargava Sana
>
>
>
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