similar to: How to create design matrix for LLMNL?

Hi any, Can some please detail me the createX command in bayesm package? To make things easy for you to help me, let me put forward my problem Suppose I have 3 covariates (say X matrix) and my Y has 3 categories say (1,2,3). Now from the CreateX I understand that the data matrix say 'Xa' must be of dimension n* (naxp), where 'na' is the number of variables and 'p' is

Hello, I have a small problem with developing design matrix X, which I use in estimation the log-likelihood of a multinomial logit model. I have the data: number of observation - 289 number of choice alternative- 3 number of choice specific variables in matrix X -4 matrix X =289x4 I tried to use the function createX, I know that I have to get design matrix 289x12 (am I right?) but

> On Sun, 27 May 2007, Aaron Gray wrote: >>> I just checked in a new LLVMBuilder class into >>> llvm/Support/LLVMBuilder.h, >> It does not seem to be on the LLVM cvsweb, is that still showing 1.9 or >> 2.0 >> and not cvs ? > > It is there: >

>> On Sun, 27 May 2007, Aaron Gray wrote: >>>> I just checked in a new LLVMBuilder class into >>>> llvm/Support/LLVMBuilder.h, >>> It does not seem to be on the LLVM cvsweb, is that still showing 1.9 or >>> 2.0 >>> and not cvs ? >> >> It is there: >>

> Please review the 2.5 release notes here: http://llvm.org/docs/ReleaseNotes.html The description of nocapture is a bit funny: "... pointer arguments to functions that access through but do not return the pointer in a data structure that out lives the call" I think it needs s/return/retain/ and s/out lives/outlives/ > In addition, many APIs have changed in this release. Some

On 9 July 2015 at 10:39, Daniel Sanders <Daniel.Sanders at imgtec.com> wrote: > TM.createX(llvm::TargetTuple(llvm::Triple(TripleStr)), ...) Could you have a constructor for TargetTuple(string) to build a triple on its own? --renato

Hello, I have built a multi-variate probit model using the package "bayesm", which requires that the X data is constructed using the function "CreateX". I've gone through the documentation and run my model, but wanted to be sure about my interpretation of the results for the coefficients - beta. Steps: 1) I have 5 choices for the dependent variable Y, so p=5 2) I have 8

Hello, I have built a multi-variate probit model using the package "bayesm", which requires that the X data is constructed using the function "CreateX". I've gone through the documentation and run my model, but wanted to be sure about my interpretation of the results for the coefficients - beta. Steps: 1) I have 5 choices for the dependent variable Y, so p=5 2) I have 8

> Another very annoying fact is that the Clang driver re-parses triples many > times, and sometimes they change the triple based on a CPU, and then end > up with a different CPU. I’ve recently been tasked with cleaning this up. Before starting on this full gusto, I want to make sure I’m not stepping on any toes or duplicating work. The rough plan is as follows; 1. Replace the call to

Dear All, I am using rhierMnlRwMixture in the bayesm package for the analysis of data from a choice experiment. I am trying to follow the margarine example set out in the bayesm manual (p.28). However, after several attempts I keep getting an error message with regards to my Z matrix as below. > Error in Z %*% t(matrix(olddelta, ncol = nz)) : >requires numeric/complex matrix/vector

On Sun, 27 May 2007, Aaron Gray wrote: >> I just checked in a new LLVMBuilder class into llvm/Support/LLVMBuilder.h, > It does not seem to be on the LLVM cvsweb, is that still showing 1.9 or 2.0 > and not cvs ? It is there: http://llvm.org/cvsweb/cvsweb.cgi/llvm/include/llvm/Support/LLVMBuilder.h?rev=HEAD&content-type=text/x-cvsweb-markup -Chris -- http://nondot.org/sabre/

Dear R users, I have noticed that my R startup is extremely slow. It takes almost 3 minutes from "double-click" to R prompt. I have been running R-0.64.1 till recently and it took about 30 sec. I still have access to R-0.64.1. When I started it up, it took about 25 sec. Can anyone tell me if this is a bug in R or a problem with my machine? Note: This is after bootup with R being the

How to force R to print 2 decimal places in column of a data.frame? I tried to do so: x = inp(format(rounf(inp$Tamanho, 2), nsmall = 2),) where "INP" is data.frame and "Size" is the name of column. But has error: Error in eval.with.vis(expr, envir, enclos) : could not find function "inp" Lesandro Veja quais s?o os assuntos do momento no Yahoo! +Buscados

Dear R-ers, somehow it is not possible to increase nsize to more than 20000k. When I specify e.g. > R --vsize=10M --nsize=21000K the result is: free total (Mb) Ncells 99658 350000 6.7 Vcells 1219173 1310720 10.0 Maybe I have overlooked s.th.... Marcus -- +------------------------------------------------------- | Marcus Eger | E-Mail: eger.m at gmx.de (NEW) |

Hello, I've a question concerning the display of interval data. A sample dataset where X is an interval between Xa and Xb which should be displayed: Y=c(15,14,23,18,19,9,19,13) Xa=c(17,22,21,18,19,25,8,19) Xb=c(22,22,29,34,19,26,17,22) X = (Xa+Xb)/2 It's easily possible to plot the mean of the interval like: plot(X,Y) afterwards I can create lines for the interval with:

We have a project that calls for the creation of a list of many distribution objects. Distributions can be of various types, with various parameters, but we ran into some problems. I started testing on a simple list of rnorm-based objects. I was a little surprised at the RAM storage requirements, here's an example: N <- 10000 closureList <- vector("list", N) nsize = sample(x

Dear all This may be obvious, but I cannot get it working. I'm trying to subset & sort a data frame in one go. x <- iris x$Species1 <- as.character(x$Species) ##subsetting alone works fine with(x, x[Sepal.Length==6.7,]) ##sorting alone works fine with(x, x[order(Sepal.Length, rev(sort(Species1))),]) ##gets subsetted, but not sorted as expected with(x, x[(Sepal.Length==6.7) &

Hi, I need some help with NFSv4 setup/tuning. I have a dedicated nfs server (2 x E5-2620? 8cores/16 threads each, 64GB RAM, 1x10Gb ethernet and 16x 8TB HDD) used by two servers and a small cluster (400 cores). All the servers are running CentOS 7, the cluster is running CentOS6. Time to time on the server I get: ?kernel: NFSD: client xxx.xxx.xxx.xxx testing state ID with incorrect

Hi everyone, ? I am trying to get a point of intersection between a polyline and a straight line ?.. and get the x and y coordinates of this point. For exemplification consider this: ? ? set.seed(123) ? k1 <-rnorm(100, mean=1.77, sd=3.33) ?k1 <- sort(k1) q1 <- rnorm(100, mean=2.37, sd=0.74) q1 <- sort(q1, decreasing = TRUE) plot(k1, q1, xlim <- c((min(k1)-5),

I am trying to use tree to partition a data set. The data set has 3924 observations. Partitioning seems to work for small subsets of the data, but when I use the entire data set, no partitioning occurs. The variables are: RESP respondent to a survey (0 = not a respondent, 1 = respondent) AGE_P Age (continuous) ORIGIN_I Hispanic Ethnicity (1 = Hispanic, 2 = non-Hispanic) RACRECI2 Race