Dear Community,
I hope that some of you are a bit experienced with the R package ChoiceModelR
by Sermas and Colias, to estimate a Hierarchical Bayes Multinomial Logit Model.
Actually, I am quite a newbie on both R and Hierarchical Bayes. However, I
tried to get some estimates by using the script provided by Sermas and Colias
in the help file. I have a data set in the same structure as they use (ID,
choice set, alternative, independent variables, and choice variable). I have
four independent variables all of them binary coded as categorical variables,
none of them restricted. I have eight choice sets with three alternatives
within each set as well as one no-choice-option as fourth alternative. I tried
the following script:
library (ChoiceModelR)
data <- read.delim("Z:/KLU/CSR/CBC/mp3_vio.txt")
xcoding=c(0,0,0,0)
mcmc = list(R = 10, use = 10)
options = list(none=FALSE, save=TRUE, keep=1)
attlevels=c(2,2,2,2)
c1=matrix(c(0,0,0,0),2,2)
c2=matrix(c(0,0,0,0),2,2)
c3=matrix(c(0,0,0,0),2,2)
c4=matrix(c(0,0,0,0),2,2)
constraints = list(c1, c2, c3, c4)
out = choicemodelr(data, xcoding, mcmc = mcmc, options = options, constraints =
constraints)
and have got the following error message:
Error in 1:nalts[i] : result would be too long a vector
In addition: There were 50 or more warnings (use warnings() to see the first 50)
The mentioned warnings are of the following:
Warning messages:
1: In max(temp[temp[, 2] == j, 3]) :
no non-missing arguments to max; returning -Inf
2: In max(temp[temp[, 2] == j, 3]) :
no non-missing arguments to max; returning -Inf
3: In max(temp[temp[, 2] == j, 3]) :
no non-missing arguments to max; returning -Inf
...
Actually, I have no idea what went wrong so far as I used the same data
structure even I have more independent variables, more choice sets, and more
alternatives within a choice set. I would be fantastic if anybody can shed some
light into the darkness ;-) Thanks in advance!
Cheers,
Michael
--
Michael Riechert
Ph.D. Candidate
Kühne Logistics University - The KLU
Wissenschaftliche Hochschule für Logistik und Unternehmensführung
Brooktorkai 20
20457 Hamburg, Germany
Tel.: +49 40 328707-302
Fax: +49 40 328707-209
E-Mail: michael.riech...@the-klu.org<mailto:michael.riech...@the-klu.org>
Website: www.the-klu.org<http://www.the-klu.org/>
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