Displaying 20 results from an estimated 1000 matches similar to: "Sampling distribution of correlation estimations derived from robust MCD and MVE methods"
2006 Sep 25
0
[PlainText Attempt] Sampling distribution of correlation estimations derived from robust MCD and MVE methods
Dear R users,
I am trying to use MCD and MVE methods in the analysis of functional imaging
(fMRI) data. But, before doing that, I want to understand the sampling
distribution of the correlation parameter given by MCD and MVE (cov.mcd$cor,
cov.mve$cor).
To this end, I conducted a simulation where in each of 100000 epochs, I
a. construct a matrix from two vectors, each containing 40 numbers
2004 Feb 11
1
MCD-Estimator in R
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2008 May 30
1
robust mlm in R?
I'm looking for something in R to fit a multivariate linear model
robustly, using
an M-estimator or any of the myriad of other robust methods for linear
models
implemented in robustbase or methods based on MCD or MVE covariance
estimation (package rrcov).
E.g., one can fit an mlm for the iris data as:
iris.mod <- lm(cbind(Sepal.Length, Sepal.Width, Petal.Length,
Petal.Width) ~ Species,
2005 Jan 27
2
Results of MCD estimators in MASS and rrcov
Hi!
I tested two different implementations of the robust MCD estimator:
cov.mcd from the MASS package and
covMcd from the rrcov package.
Tests were done on the hbk dataset included in the rrcov package.
Unfortunately I get quite differing results -- so the question is whether
this differences are justified or an error on my side or a bug?
Here is, what I did:
> require(MASS)
>
1998 Feb 23
1
R-beta: Help: cov.mve in R? dgamma in Splus?
Hi all
I have a couple of obscure questions for R/Splus experts (which
unfortunately isn't me!)
I am trying to compute Bayes Factors using some Splus code of Raftery
in Gilks et al (1996). Only problem is
1) R doesn't seem to have a robust covariance (cov.mve) which I
suspect I need rather than a non-robust classical estimate
2) Splus has cov.mve BUT dgamma in Splus doesn't have a
2002 Aug 15
0
Behaviour of cov.rob/MCD
Dear list,
here is something I do not understand about cov.rob.
> dat <- rmvnorm(200,rep(0,10),diag(10))
> cov.rob(dat,method="mcd")
> cov.rob(dat,method="mcd",quantile.used= floor(3*211/4))
# All fine; default for quantile.used is floor(211/2)
> dat <- rmvnorm(20,rep(0,10),diag(10))
> cov.rob(dat,method="mcd")
# quantile.used is floor(31/2).
2006 Apr 26
1
Minimum Volume Ellipsoid Estimator ("cov.mve"??)
Dear All,
The Minimum Volume Ellipsoid estimator ("cov.mve") was part of S+ but I cannot find it in R. Where can I find it? Why was it excluded?
Cheers, Patrik
Sweden
1997 Jun 03
1
R-alpha: cov.mve
Is there public domain code for cov.mve?
Thanks,
-k
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2011 Dec 06
2
Why can't I figure this out? :S
Hi, so I don't speak computer and I have no idea what this code is telling
the program to do, but I apparently need to be able to find and isolate
influencial observations. Problem, I have no idea what the error means and
where it may be from in the code.
error I get is below the code
{
## OLS results
NameC<- lm(gpanew~female+female:lastinit+agenew+canadian+mom_ed+yearstudy)
## default:
1998 Aug 31
0
Packages aov, modreg, lqs, psplines
I now have versions of code that is destined (I believe) for 0.63 which
is in a suitable state for comment. The files are at
ftp://ftp.stats.ox.ac.uk/pub/R
(Our www server is being moved, so may be intermittently down, but this
ftp server should be stable.) All are R packages, for the moment for
personal use only (no re-distribution). Use with 0.62.3 or 0.63 (although
I am aware of some
2006 Mar 07
3
[Samba Version 3.0.20b-3.4-SUSE]: WinXP-Error writing to share
Hello mailing-list,
this is my first post and i hope that you enjoy my very bad but
sometimes funny english.
My Problem is the following:
First of all, my server-config:
Samba Version 3.0.20b-3.4-SUSE
on a
SUSE Linux Enterprise Server 9
with Kernel 2.6.5-7.252-smp
Now the problem is, that samba generally works fine, but it doesn't work
to work with a special application directly on a
1999 Feb 09
1
Robust estimate of variance
Has anybody written or located a robust verion of Var(X)?
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2020 Nov 09
0
Loop-vectorizer prototype for the EPI Project based on the RISC-V Vector Extension (Scalable vectors)
; RISC-V V & VE(*):
; %mask = get.active.lane.mask(%i, %i)
; %evl = min(256, %n - %i)
; MVE/SVE/AVX :
; %mask = get.active.lane.mask(%i, %n)
; %evl = call @llvm.vscale()
For VE, we want to do as much predication as possible through %evl and as little as possible with %mask. This has performance implications on VE and RISC-V - VE does not generate a mask from %evl but %evl is
2020 Nov 06
0
Loop-vectorizer prototype for the EPI Project based on the RISC-V Vector Extension (Scalable vectors)
Hello Simon,
Thanks for your replies, very useful. And yes, thanks for the example and making the target differences clear:
; Some examples:
; RISC-V V & VE(*):
; %mask = (splat i1 1)
; %evl = min(256, %n - %i)
; MVE/SVE :
; %mask = get.active.lane.mask(%i, %n)
; %evl = call @llvm.vscale()
; AVX:
; %mask = icmp (%i + (seq <8 x i32> 0,1,2,.,)), %n,
; %evl
2007 Mar 21
2
ORA-03106: fatal two-task communication protocol error
Has anyone encountered this error or know how to correct it?
I couldn''t find any Rails-specific info about this on google.
Here are the circumstances:
/usr/local/bin/ruby --version
ruby 1.8.4 (2005-12-24) [i686-linux]
/usr/local/bin/rails --version
Rails 1.1.6
## Create mcd app
rails mcd -d oracle
cd mcd
## Create oracle tablespace & user
sqlplus ''/ as
2020 Nov 06
2
Loop-vectorizer prototype for the EPI Project based on the RISC-V Vector Extension (Scalable vectors)
On 11/6/20 12:39 PM, Sjoerd Meijer wrote:
Hello Simon,
Thanks for your replies, very useful. And yes, thanks for the example and making the target differences clear:
; Some examples:
; RISC-V V & VE(*):
; %mask = (splat i1 1)
; %evl = min(256, %n - %i)
; MVE/SVE :
; %mask = get.active.lane.mask(%i, %n)
; %evl = call @llvm.vscale()
; AVX:
; %mask = icmp (%i + (seq
2020 Nov 06
0
Loop-vectorizer prototype for the EPI Project based on the RISC-V Vector Extension (Scalable vectors)
Hi Sjoerd,
> Trying to remember how everything fits together here, but could
> get.active.lane.mask not create the %mask of the VP intrinsics? Or in other
> words, in the vectoriser, who's producing the %mask and %evl that is
> consumed by the VP intrinsics?
>
> I'm not sure what would be the best way here. I think about the Loop
Vectorizer. I imagine at some point we
2020 May 18
2
LV: predication
Hi,
I abandoned that approach and followed Eli's suggestion, see somewhere earlier in this thread, and emit an intrinsic that represents/calculates the active mask. I've just uploaded a new revision for D79100 that implements this.
Cheers.
________________________________
From: Simon Moll <Simon.Moll at EMEA.NEC.COM>
Sent: 18 May 2020 13:32
To: Sjoerd Meijer <Sjoerd.Meijer at
2020 Nov 06
4
Loop-vectorizer prototype for the EPI Project based on the RISC-V Vector Extension (Scalable vectors)
On 11/6/20 8:49 AM, Roger Ferrer Ibáñez wrote:
Hi Sjoerd,
Trying to remember how everything fits together here, but could get.active.lane.mask not create the %mask of the VP intrinsics? Or in other words, in the vectoriser, who's producing the %mask and %evl that is consumed by the VP intrinsics?
I'm not sure what would be the best way here. I think about the Loop Vectorizer. I imagine
2019 Jul 05
5
Python build dependency in LLVM and/or clang?
Hello llvm-devs,
I'm currently starting to look at implementing compiler intrinsics for the Arm MVE vector instruction set.
In a similar sort of style to the existing NEON intrinsics, this is going to involve describing the set of functions needed in Tablegen, and then processing that data into a header file and some bits and pieces to compile into clang (the list of builtins, data tables