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Perhaps some of you might be interested in this: -- Carsten ################################################################## *---------------------------------------------------* * LLBMC: The Low-Level Bounded Model Checker * * for C (and C++) programs is now available! * * Version 2012.1 * *

On Tue, Feb 7, 2012 at 4:58 AM, Carsten Sinz <carsten.sinz at kit.edu> wrote: > Perhaps some of you might be interested in this: > -- Carsten > > > ################################################################## > > *---------------------------------------------------* > * LLBMC: The Low-Level Boun...

This looks very interesting. Do you plan to make the source code publicly available? -Hal On Tue, 2012-02-07 at 01:58 +0100, Carsten Sinz wrote: > Perhaps some of you might be interested in this: > -- Carsten > > > > > ################################################################## > > > *---------------------------------------------------* > * LLBMC: The Low-Level Bounded Model Ch...

I have been looking into both of these approaches to conducting a GLMM, and want to make sure I understand model specification in each. In particular - after looking at Bates' Rnews article and searching through the help archives, I am unclear on the specification of nested factors in lmer. Do the following statements specify the same mode within each approach? m1 = glmmPQL(RICH ~ ZONE,

Hello, I would like to know if there is an R-package available for computing the density, distribution function, quantiles and random numbers of the p-generalized normal distribution or if somebody is already working on it. Best regards, Steve Kalke

We are very pleased to announce that a new version of LLBMC is available for download at http://llbmc.org. LLBMC is a high-precision static analyzer based on LLVM implementing a technique called "Bounded Model Checking". LLBMC can detect errors such as: - Illegal memory accesses (e.g., buffer overflows) - Integer overflows - Division by zero - Invalid bit shifts - Double frees

We are very pleased to announce that a new version of LLBMC is available for download at http://llbmc.org. LLBMC is a high-precision static analyzer based on LLVM implementing a technique called "Bounded Model Checking". LLBMC can detect errors such as: - Illegal memory accesses (e.g., buffer overflows) - Integer overflows - Division by zero - Invalid bit shifts - Double frees