Displaying 6 results from an estimated 6 matches for "0.1162".
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0.112
2010 Aug 13
1
Bug in t.test?
Hello all,
due to unexplained differences between statistical results from
collaborators and our lab that arose in the same large proteomics
dataset we reevaluated the t.test() function. Here, we found a weird
behaviour that is also reproducible in the following small test
dataset:
Suppose, we have two vectors with numbers and some missing values
that refer to the same individuals and that
2012 Jul 20
1
[LLVMdev] LLVM compile speed significantly slower than GCC (w/ test case)
>> GCC (4.5.2, Windows build from CodeSourcery) - With -O0: 110ms, with -O2: 215ms
>> Clang/LLVM (Release mode, LLVM git hash 7f5714f4..., clang git hash
>> 9d9cf5...) - With -O0: 110ms, with -O2: 640ms
Hi Matt,
I only see 2x slowdown on my machine (consistently, O2 and O3), but
that's still bad.
If you compile to IR then pass "opt -time-passes" you can get a
2001 Apr 12
1
estimates for e in procedure arima0() ?
Dear all,
this may be a stupid question but...
The underlying model in procedure arima0 is
X[t] = a[1]X[t-1] + ... + a[p]X[t-p] + e[t] + b[1]e[t-1] + ... +b[q]e[t-q]
Is it possible to get an estimate of e for every point t, t-1 etc. or
at least an estimate of the variance of e?
Thanks a lot in advance for any hints
Kai Arzheimer
2012 Jul 19
0
[LLVMdev] LLVM compile speed significantly slower than GCC (w/ test case)
Thanks, Matt. This is great information. Sounds like Chandler is looking into the details of what's going on.
-Jim
On Jul 19, 2012, at 3:55 PM, Matt Fischer <mattfischer84 at gmail.com> wrote:
> I've been doing some profiling of LLVM on our codebase, to see how it
> stacks up to the existing GCC build that we do. The primary thing I'm
> focusing on at the moment is
2017 Dec 26
1
identifying convergence or non-convergence of mixed-effects regression model in lme4 from model output
Hi R community!
I've fitted three mixed-effects regression models to a thousand
bootstrap samples (case-resampling regression) using the lme4 package in
a custom-built for-loop. The only output I saved were the inferential
statistics for my fixed and random effects. I did not save any output
related to the performance to the machine learning algorithm used to fit
the models (REML=FALSE).
2012 Jul 19
4
[LLVMdev] LLVM compile speed significantly slower than GCC (w/ test case)
I've been doing some profiling of LLVM on our codebase, to see how it
stacks up to the existing GCC build that we do. The primary thing I'm
focusing on at the moment is build speed, and in this regard LLVM
seems to be pretty all over the map. On some files it seems to go
quite a bit faster than GCC, and on others it's slower, leading to an
aggregate build time for our repository