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You can also do it by specifying the rpar arguments exactly as they appear when you run the regular mlogit() command. So for your example:

rpar = list("A:scan.id"="n", "C:scan.id"="n", ...)

where they named list must be quoted because of the ":" (I think, it may just be for "(", but it works with quotes either way) -- see footnote 20 p. 24 of this pdf*. Also see 1st paragraph of p.26 of documentation about having to list the entire name of individual specific coefficients. I had a similar problem when trying to just use scan.id but it stated working when I started putting the A:scan.id = argument instead. I believe you can do this with your data, as long as you set panel=F which I think is the only time the id.var=scan.id is invoked for multiple observation on the same person. If you do in fact have a panel, then don't use that variable and use the other variables you want to simulate as normal or another distribution. I'd also recommend using halton=NA argument if you have a large dataset as it speeds up the simulation significantly.

_{* Philip A. Viton (2014) Discrete Choice Logit Models with R. Materials for Ohio State City and Regional Planning 5700.}

You can also do it by specifying the rpar arguments exactly as they appear when you run the regular mlogit() command. So for your example:

rpar = list("A:scan.id"="n", "C:scan.id"="n", ...)

where they named list must be quoted because of the ":" (I think, it may just be for "(", but it works with quotes either way). This is explained in footnote 20 p. 24 of Viton, PA. "Discrete-Choice Logit Models with R" (pdf):

The specification of random parameters for the alternative-specific constants has changed from mlogit version 0.1-8. The old version had rpar=c(altair='n',altbus='n',alttrain='n'). If you get an error here, try estimating model without random parameters (like model res4 above), and note how the mode-specific dummys are reported; then use that syntax in the rpar argument.

Also see the 1st paragraph of p.26 of the documentation (pdf) about having to list the entire name of individual specific coefficients. I had a similar problem when trying to just use scan.id but it stated working when I started putting the A:scan.id = argument instead. I believe you can do this with your data, as long as you set panel=F which I think is the only time the id.var=scan.id is invoked for multiple observation on the same person. If you do in fact have a panel, then don't use that variable and use the other variables you want to simulate as normal or another distribution. I'd also recommend using halton=NA argument if you have a large dataset as it speeds up the simulation significantly.

_{* Philip A. Viton (2014) Discrete Choice Logit Models with R. Materials for Ohio State City and Regional Planning 5700.}

You can also do it by specifying the rpar arguments exactly as they appear when you run the regular mlogit() command. So for your example:

rpar = list("A:scan.id"="n", "C:scan.id"="n", ...)

where they named list must be quoted because of the ":" (I think, it may just be for "(", but it works with quotes either way) -- see footnote 20 p. 24 of documentation. Also see 1st paragraph of p.26 of documentation about having to list the entire name of individual specific coefficients. I had a similar problem when trying to just use scan.id but it stated working when I started putting the A:scan.id = argument instead. I believe you can do this with your data, as long as you set panel=F which I think is the only time the id.var=scan.id is invoked for multiple observation on the same person. If you do in fact have a panel, then don't use that variable and use the other variables you want to simulate as normal or another distribution. I'd also recommend using halton=NA argument if you have a large dataset as it speeds up the simulation significantly.

You can also do it by specifying the rpar arguments exactly as they appear when you run the regular mlogit() command. So for your example:

rpar = list("A:scan.id"="n", "C:scan.id"="n", ...)

where they named list must be quoted because of the ":" (I think, it may just be for "(", but it works with quotes either way) -- see footnote 20 p. 24 of this pdf*. Also see 1st paragraph of p.26 of documentation about having to list the entire name of individual specific coefficients. I had a similar problem when trying to just use scan.id but it stated working when I started putting the A:scan.id = argument instead. I believe you can do this with your data, as long as you set panel=F which I think is the only time the id.var=scan.id is invoked for multiple observation on the same person. If you do in fact have a panel, then don't use that variable and use the other variables you want to simulate as normal or another distribution. I'd also recommend using halton=NA argument if you have a large dataset as it speeds up the simulation significantly.

_{* Philip A. Viton (2014) Discrete Choice Logit Models with R. Materials for Ohio State City and Regional Planning 5700.}

You can also do it by specifying the rpar arguments exactly as they appear when you run the regular mlogit() command. So for your example:

rpar = list("A:scan.id"="n", "C:scan.id"="n", ...)

where they named list must be quoted because of the ":" (I think, it may just be for "(", but it works with quotes either way) -- see footnote 20 p. 24 of documentation. Also see 1st paragraph of p.26 of documentation about having to list the entire name of individual specific coefficients. I had a similar problem when trying to just use scan.id but it stated working when I started putting the A:scan.id = argument instead. I believe you can do this with your data, as long as you set panel=F which I think is the only time the id.var=scan.id is invoked for multiple observation on the same person. If you do in fact have a panel, then don't use that variable and use the other variables you want to simulate as normal or another distribution. I'd also recommend using halton=NA argument if you have a large as it speeds up the simulation significantly.

You can also do it by specifying the rpar arguments exactly as they appear when you run the regular mlogit() command. So for your example:

rpar = list("A:scan.id"="n", "C:scan.id"="n", ...)

where they named list must be quoted because of the ":" (I think, it may just be for "(", but it works with quotes either way) -- see footnote 20 p. 24 of documentation. Also see 1st paragraph of p.26 of documentation about having to list the entire name of individual specific coefficients. I had a similar problem when trying to just use scan.id but it stated working when I started putting the A:scan.id = argument instead. I believe you can do this with your data, as long as you set panel=F which I think is the only time the id.var=scan.id is invoked for multiple observation on the same person. If you do in fact have a panel, then don't use that variable and use the other variables you want to simulate as normal or another distribution. I'd also recommend using halton=NA argument if you have a large dataset as it speeds up the simulation significantly.