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...mall.sav") Warning message: small.sav: Unrecognized record type 7, subtype 13 encountered in system file. > library(MNP) MNP: R Package for Fitting the Multinomial Probit Models Version: 1.3-1 URL: http://www.princeton.edu/~kimai/research/MNP.html > > res1 <- mnp(PREVOTE3 ~ 1, choiceX = list(1=UCLC, 2=UDLC, 3=UPLC), Error: syntax error > cXnames = "ut", data = small, n.draws = 500, burnin = 100, Error: syntax error > verbose = TRUE) Error: syntax error > > # another try giving arbitrary names to the values of the dependent...

...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. Thanks, --Bill res1<-mnp(mc ~ 1, choiceX = list(a=cbind(ttme.1,gc.1,hinc), b=cbind(ttme.2,gc.2,0), c=cbind(ttme.3,gc.3,0), d=cbind(ttme.4,gc.4,0) ), cXnames = c("ttme","gc","hinc"), data = wide, n.draws = 1500, burnin = 50, base = "...

...- za1M and za1B effects coded variables for the brand of the first alternative, similarly zb1M, zb1B for the second alternative etc. - za2, zb2, zc2 price level for the first, second and third alternative I tried the following mnp command for testing: analysis <- mnp(cbind(y1, y2, y3) ~ 1, choiceX = list(y1=cbind(za1M, za1B, za2), y2=cbind(zb1M, zb1B, zb2), y3=cbind(zc1M, zc1B, zc2)), cXnames = list("M", "B", "price"), data=example, n.draws=500, burnin=100, thin=3, verbose=TRUE) My questions are: 1) How can I take into account that every respondent answe...

...cClose(x) > c choice clio punto polo 1 3 10.08163 10.05406 10.07323 2 1 10.08163 10.05406 10.07323 3 2 10.08163 10.05406 10.07323 4 1 10.08163 10.05406 10.07323 5 2 10.08163 10.05406 10.07323 .........and 607 more > res1 <- mnp(choice ~ 1, choiceX = list(Clio= clio, Punto= punto, Polo= polo), cXnames = "price", data = c, n.draws = 100, verbose = TRUE) Error in dimnames(x) <- dn : length of 'dimnames' [2] not equal to array extent clio, punto and polo are the x's, I would appreciate if anyone helps me on this, Th...

...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 covariances are below. I f anyone help me on this, I would appreciate. ozlem. Call: mnp(formula = choice ~ 1, data = rowdata3, choiceX = list(Punto = PricePunto, Clio = PriceClio, Polo = PricePolo), cXnames = "price", base = "Polo", n.draws = 100, verbose = TRUE) Coefficients: mean std.dev. 2.5% 97.5% (Intercept):Clio -1.4559 0.6889 -2.7017 -0.387 (Interc...