similar to: RE

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

Hi, I tried to use rmnlIndepMetrop (bayesm package) for my MNL model with 4 choice alternatives, 5 independent variables, 69 observations, dim(X) [1] 276 5, nu=6. So I run such code: if(nchar(Sys.getenv("LONG_TEST")) != 0) {R=2000} else {R=10} set.seed(66) df=read.table("X_metrop.dat",header=TRUE) inp=as.matrix(df) y=as.numeric(inp[,1]) n=length(y) p=4

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

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

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/

> 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

Background: I administer a cluster of RedHat EWS 3U4 Linux workstations at a university. I built R 2.1.0 from source: ./configure \ --prefix=/sscc/opt/R-2.1.0 \ --with-blas=no \ 2>&1 \ | tee NUInstall.configure R is now configured for i686-pc-linux-gnu Source directory: . Installation directory: /sscc/opt/R-2.1.0 C compiler:

Hi All, Please review the 2.5 release notes here: http://llvm.org/docs/ReleaseNotes.html Let me know if you have any additions, improvements, or see any oversights. If you have commit access, please just directly change the document. The release is planned to go out in about 24 hours from now! Thanks! -Chris

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