similar to: wrong signs using MNP.

Dear R users, I'm estimating a two-level regresion model but having difficuly in finding a good R syntax example. Let me use an example to explain what I'm doing. The dependent variable is math score (mathscore). Predictors are at two levels. At the student level, they are household income (hinc) and IQ (IQ). At the school level, there is a dummy variable indicating if the school is a

Hello all. I noticed that the default setting for breaks in the construction of histograms in hist() is ?right = TRUE?. I think ?right=FALSE? would be more consistent with usual definitions of lower and upper limits for bins in applied statistics, and I suggest that you consider making it the default for hist(). For example, I generated the following frequency distribution for duration of

Hi all, For my research I have to use a Multinomial Probit model. I saw that there are two packages, that include a method to estimate my parameters. The first one is the MNP-package of Imai and van Dyk. The second one is part of the bayesm-package of Rossi. The results for both packages are not the same using the same data. Does anybody know what the difference is between these two approaches?

Hi everyone, I use the MNP package to fit my data. I can interpret the coefficients and covariance. I cannot put them into the original model which is Wi=Sum(bXij) over j, Yi(Wi)=0 if max(Wi)<0, j if max(Wi)=Wij>0 j=3 here, 3 choice alternatives, Clio, Punto, Polo I don't know how to put the coefficients and covariances into W, to construct W for each j. The coefficients and

Dear all, I'm a new user of R and MNP. Would anybody advise me what I have done wrong to the input or data. When I add the R7, it said that there is an error "SWP:singular matrix". I can add up to R6 only. Copy of the R console is attached for your reference. Thanks. Andy -------------- next part -------------- A non-text attachment was scrubbed... Name: mywork.pdf Type:

We would like to announce the release of our software, which is now available through CRAN. MNP: R Package for Fitting the Multinomial Probit Models Abstract: MNP is a publicly available R package that fits the Bayesian multinomial probit models via Markov chain Monte Carlo. Along with the standard multinomial probit model, it can also fit models with different choice sets for each observation,

Hello, I need a little initial help with the MNP package. I am trying to analyze a discrete choice experiment with the following settings: - choice sets consist of 3 alternatives - choice alternatives are constructed by e.g. two attributes, say brand and price. - brand has three levels and price has four levels - every respondent has to answer 4 different choice sets (drawn randomly or

We would like to announce the release of our software, which is now available through CRAN. MNP: R Package for Fitting the Multinomial Probit Models Abstract: MNP is a publicly available R package that fits the Bayesian multinomial probit models via Markov chain Monte Carlo. Along with the standard multinomial probit model, it can also fit models with different choice sets for each observation,

Hi All, Can the MNP package available in R be used to analyze panel data as well? *i.e., *if there are 3 observed discrete choices for three time periods for the same individual , can i estimate a panel multinomial probit model which allows correlated errors across time periods and individual heterogeneity (random coefficients) using the MNP package? In the case that it doesn't work, is

Hi all, Does anybody have a hint on what may be going wrong in this R code? I mimic the sample code from the MNP developers but I seem unable to get the choice specific variables right. Thanks, Joan Serra > rm(list=ls()) > library(foreign) > small<-read.spss("small.sav") Warning message: small.sav: Unrecognized record type 7, subtype 13 encountered in system file. >