similar to: RoR Developer Needed (Royal Oak, MI)

Has anyone here had any luck with these games on wine ? I installed wine 1.3 and didn't get it to work.

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With a modified copy of LLVM (so it's probably my fault) I'm getting an assertion failure because isTwoAddrUse (in TwoAddressInstructionPass.cpp) is being called with a MachineInstr MI such that MI.getNumOperands() is 2, but MI.getDesc().getNumOperands() is 5. The assertion fails when that function calls MI.getOperand(2). My question is: is isTwoAddrUse doing the right thing here? static

Greetings, I would like to subset observations in a time series using xts, after converting from ts to xts. X=ts(1:100, frequency=12, start=c(1976)) X2=as.xts(X) X2["1984"] The output: Feb 1984 98 Mar 1984 99 Apr 1984 100 What happened to January? The index is always one month off, with X2["1976-01"] giving me Feb 1976. Should I set the time using something else

Hello! I get the following message when I run the mi() function from the mi package. Error while imputing variable: c3 , model: mi.polr Error in eval(expr, envir, enclos) : could not find function "c14ordered" Here's the situation: I am running R v. 2.9.2 on Mac OSX v. 10.5.8. I am trying to impute missing data in a data set that I've trimmed down to 302 variables.

Announcing RubyConf*MI! The Michigan Ruby Users Group [1] is pleased to announce RubyConf*MI, http://www.rubyconfmi.org - a whole day of Ruby goodness. The conference will be an all day event held at Calvin College in Grand Rapids, Michigan, on Saturday, August 26, 2006. RubyConf*MI [2] will be a single-track conference featuring well-known speakers like David A. Black and Pat Eyler, along with

Hi, I am trying to do multiple imputation on a panel of data and then, use the imputed values in stochastic frontier analysis. I am using this code just as a start to see if will run: mi(countrydata, n.iter = 30, R.hat = 1.1, max.minutes = 20, rand.imp.method = "bootstrap", run.past.convergence = FALSE, seed = NA) Unfortunately, I get this error which seems to have to do

Hi all, We have some code in Hexagon that needs to be run on MC instructions, as well as on MI instruction. Here is some background for why we have this need: Some Hexagon instructions can be converted to a more compact bit representation, with the exact same functionality, if the properties of its operands meet certain criteria. Thus on the MI layer, we check the properties of the

On Mon, Jun 24, 2013 at 2:41 AM, Andrew Trick <atrick at apple.com> wrote: > I'm briefly enabling the MachineScheduler pass for x86 tonight to collect > information on any failures that may show up. > > To properly enable the new scheduler, this hook is implemented in > X86Subtarget: > > bool enableMachineScheduler() const LLVM_OVERRIDE { return true; } > >

On 26 September 2013 08:30, Ghassan Shobaki <ghassan_shobaki at yahoo.com> wrote: > So, when the MI scheduler is enabled, will SD scheduling be totally disabled > or the SD scheduler will be automatically set to do source scheduling? The latter. The SD scheduler is where the DAG is converted into the linear MachineInstr representation. Some kind of scheduling *has* to happen. Tim.

Hi, I’d try the lldb-dev mailing list instead of the LLVM one. Best, — Mehdi > On Dec 26, 2016, at 11:14 PM, Toon Claes via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > Hi, > > Reposting this message, because I never received a response. > > On the emacs-devel mailing list the question was raised to add support > the emacs for lldb. > Someone replied

Is there any documentation on what machine interface (mi) commands are implemented in lldb-mi, and how compatible those commands are with gdb's mi? I'm asking for this project: https://github.com/cs01/gdbgui -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20170310/667d44df/attachment.html>

Nice to see great progress in this area! On Sun, Aug 12, 2018 at 2:49 PM, Александр Поляков via lldb-dev < lldb-dev at lists.llvm.org> wrote: > Hi LLVM folks, > > During this summer I was working on re-implementing of lldb-mi to > correctly use LLDB public API. You are welcome to read my final report > where I describe the contribution and challenges I faced with. > Link

Hi Folks, Fernando Tussell and I have been working on an R package of Shafer's CAT software for S-plus, for multiple imputation of categorical data. A very first version of this ("0.0-1") now seems to work, in that blatant bugs and segfaults seem to have been worked around. It now needs some testing in the wild, so if anyone would like to have a copy of cat_0.0-1.tar.gz to try out

I was hoping to use mi to generate a synthetic version of a database. The strategy (see code below) was simple: use the diamonds dataset from ggplot2, subset it focus on 3K single-color, then create a blank record for every "real" record, and throw the new dataset at mi to see if it would populate the blank records. I kept getting failed convergence. I think I have simplified the

Dear all members, I am Phd. candidate student at Chulalongkorn U., Thailand. I am interested in expectation maximization algorithm (EM) and multiple imputation (MI) for imputation missing values(missing at random(MAR) and missing not at random (MNAR)) in IRT (3-PL). So, I want to know about package in R or function of EM and MI for simulate this problem I am looking forward your answer.

Hi LLVM folks, During this summer I was working on re-implementing of lldb-mi to correctly use LLDB public API. You are welcome to read my final report where I describe the contribution and challenges I faced with. Link to final report: https://apolyakov.github.io/GSoC-2018/ -- Alexander -------------- next part -------------- An HTML attachment was scrubbed... URL:

Para m? es un gusto saludarle, me complace invitarle foralmente este 27 de junio al Taller Aire Acondicionado y Refrigeraci?n Industrial, un curso para t?cnicos de mantenimiento, gerentes de edificios, t?cnicos de HVAC o cualquier persona que busque desarrollar y mejorar sus habilidades (y algunos trucos de oficio) de la operaci?n general y el mantenimiento de sistemas de AC&R. GU?A DE TEMAS

Buen d?a, Le envi? la invitaci?n anteriormente pero es posible que no la haya recibido por fallos electronicos en mi correo, le ofrezco una disculpa por ello. Le escribo para enviarle una cordial invitaci?n para participar en el evento Implementaci?n Efectiva de la norma ISO 45001:2018 este 27 de Diciembre via Zoom Online. Especificamente, este curso se enfoca en ayudarle a transformar su

Greetings folks, Shafer's S-plus package "norm" for multiple imputation of missing values in multivariate normal data has been most kindly and usefully ported to R by Alvaro A. Novo. Shafer's website http://www.stat.psu.edu/~jls/ lists four S-plus packages in all: NORM - multiple imputation of multivariate continuous data CAT - multiple imputation of multivariate