similar to: MNP - discrete choice experiment

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,

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, Does anyone know if the D'agostino test is available with R ? Alex

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. >

Hi, I recently found the MNP package. Out of curiosity, I tried to reproduce results from Greene (Econometric Analysis, fourth edition) on page 874. The signs of the estimates are all opposite those of Greene's table. Might anyone be able to tell me what I am doing wrong? I have attached the function call, the coefficients, and a few rows of the data. The dataset has 210 observations.

[mod: Forwarded by Jeff Uphoff. I tried to mangle the headers that it appears as the original post: with an invalid return address. -- REW] A few months back, a very alpha version of bliss got posted. That shouldn''t have happened, but, it was pretty much ignored so I didn''t worry about it. But now it seems there''s a bit of a fuss about this. I''ll post the

Hello, I have a data matrix consists of species as columns and sites as rows. N Chlamydiae Deferribacteres GN12 Hyd24-12 KSB1 PAUC34f SC4 SPAM Thermi WPS-2 ZB3 AD3 Elusimicrobia GAL15 ABY1_OD1 OP9 Fusobacteria HDBW-WB69 OP11 WS1 SR1 ZB2 AC1 OP3 OP8 NC10 NKB19 TM7 WS3 Gemmatimonadetes Lentisphaerae GN02 Armatimonadetes Tenericutes Spirochaetes Epsilonproteobacteria TM6 Acidobacteria Chlorobi

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++