similar to: Application of R and MNP

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 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, 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.

I have a data frame in wide format. There are six variables that represent two factors in long format 3x2, Valence and Temperature: > head(dpts) File Subj Time Group PainNeg.hot PainNeg.warm SociNeg.hot SociNeg.warm Positiv.hot Positiv.warm Errors 1 WB101_1_1_dp.txt 101 1 MNP 30.700000 13.75000 16.319048 35.166667 30.18333 14.383333 1 2

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

Hello all, We're having problems with files that suddenly stop being seen on the fuse clients. I couldn't yet find a way to reproduce this. It happens every once in a while. Sometimes you try to ls some file and it can't be found. When you run ls on the parent directory, it is shown on the output, and, after that, you can access it. I'm mentioning ls, but the problem also

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

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,

Hello, I want to start testing using the MNP probit function in stead of the lrm function in my current experiment. I have one dependant label and two independent varaibles. The lrm is simple model <- lrm(label ~ val1 + val2) I tried the same thing with the mnp function and got an error that I don't understand model <- mnp(label ~ val1 + val2) I get back an immediate error that

Hi, everyone, I haven't found anything similar in the forum, so here's my problem (I'm no expert in R nor statistics): I have a data set of 59.000 cases with 9 variables each (fractional coverage of 9 different plant types, such as deciduous broad-leaved temperate trees or evergreen tropical trees etc.), which was generated by a vegetation model. In order to evaluate the quality 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 While trying to back up my homedir, i found what looks like a bug: from /home, i do: rsync -CWavP --delete --delete-excluded \ --exclude=".phoenix/default/*/Cache/" \ --exclude-from=rsync-excludes \ myusername/ targetserver:/backup/myusername/ rsync-excludes contains (without [] lines): [start] #comment **.xvpics** *.swp [end] This works

Hi, I''ve got a question regarding failover. I''ve set up Xen and DRBD with the versions packaged for CentOS 5.4. Live migration of the domU''s is working between the two xen nodes quite happliy. Each domU has two LVM LVs associated with it, partitioned as swp and root. DRBD is configured to just sync the LV containing the root partition, not swp. I''ve seen

Hello All, I'm trying to run a multinomial probit on a dataset with 28 data points and five levels (0,1,2,3,4) in the latent choice involving response variable. I downloaded the latest mnp package to run the regression. It starts the calculation and then crashes the rpogram. I wish I could give the error message but it literally shuts down R without a warning. I'm using the R

I use mnp to run a multinominal probit regression model, but the summary doesn't contain the model statistics, such as the log-likelihood and degree of freedom, for the assessment of the goodness-of-fit of the fitted model. Is there any way that I can generate these statistics for the fitted model in R? Many thanks in advance! SC

On Wed, 2017-12-13 at 10:34 -0500, Gene Cumm wrote: > CAUTION: This email originated from outside of the organization. Do not click links or open attachments unless you recognize the sender and know the content is safe. > > > On Wed, Dec 13, 2017 at 7:03 AM, Joakim Tjernlund > <Joakim.Tjernlund at infinera.com> wrote: > > On Mon, 2017-12-11 at 08:59 +0100, Joakim

Hi all, I got a silly bug when compiling our project with the latest Clang. Here's the outputted assembly: > tst r3, #255 > strbeq r6, [r7] > ldreq r6, [r4, r6, lsl #2] > strne r6, [r7, #4] > ldr r6, [r4, r6, lsl #2] > bx r6 For the code to execute correctly, either the _ldr_ should be a _ldrne_ instruction or the _ldreq_ instruction should be removed. The error seems to

fixes compilation issues with recent envytools, because movw was removed from fuc5, because it doesn't exist there anymore. The current code is most likely broken for fuc5 hardware as well and might have triggered all kinds of random memory reclocking fails. Changes in fuc3 binaries are tue do opcode optimizations using shorter opcodes when possible. Signed-off-by: Karol Herbst <kherbst

On 20 October 2017 at 09:24, Ingo Molnar <mingo at kernel.org> wrote: > > * Thomas Garnier <thgarnie at google.com> wrote: > >> Change the assembly code to use only relative references of symbols for the >> kernel to be PIE compatible. >> >> Position Independent Executable (PIE) support will allow to extended the >> KASLR randomization range below