Displaying 8 results from an estimated 8 matches for "robast".
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2010 Jun 06
1
Robust Asymptotic Statistics (RobASt)
Hi all,
Other than:
http://www.stamats.de/F2006.r
Are there other good simple examples out there of using the ROptRegTS
package (part of the RobASt project)? I'm hoping to plug it in for
multivariate regression. Or is this not a good idea? Just trying to
find out how it compares to rlm, lts, glm, etc. Hopefully this makes
sense, I'm new to the world of statistics and R.
Thanks!
St0x
2008 Sep 15
0
RobASt-Packages
...-------------
We would like to announce the availability on CRAN (with possibly a
minor delay until on every mirror) of new versions of our packages for
the computation of optimally robust estimators; i.e., "RandVar",
"ROptEst", "RobLox" as well as a new package "RobAStBase" (not yet:
ROptRegTS and RobRex).
-----------------------------------------------------------------------------------------
Devel versions on R-forge
-----------------------------------------------------------------------------------------
The development of these packages is under r-forg...
2008 Sep 15
0
RobASt-Packages
...-------------
We would like to announce the availability on CRAN (with possibly a
minor delay until on every mirror) of new versions of our packages for
the computation of optimally robust estimators; i.e., "RandVar",
"ROptEst", "RobLox" as well as a new package "RobAStBase" (not yet:
ROptRegTS and RobRex).
-----------------------------------------------------------------------------------------
Devel versions on R-forge
-----------------------------------------------------------------------------------------
The development of these packages is under r-forg...
2009 Dec 09
0
new version of RobASt-family of packages
The new version 0.7 of our RobASt-family of packages is available on
CRAN for several days. As there were many changes we will only sketch
the most important ones here. For more details see the corresponding
NEWS files (e.g. news(package = "RobAStBase") or using function NEWS
from package startupmsg i.e. NEWS("Ro...
2011 Jan 26
0
New package versions for distr- and robast- families
...distr")).
We are looking forward to getting your RFEs, bug reports
or simple feedback,
Best,
Peter, Matthias, Nataliya
------------------------------------------------------------------------
------------------------------------------------------------------------
New versions 0.8 of our RobASt-family of packages are now
available on CRAN.
(i.e.; RandVar, RobAStBase, ROptEst,
RobLox, ROptEstOld, ROptEstTS, RobRex,
RobLoxBioC)
Most importantly, we have included:
+ a quasi-MC trick by Nataliya Horbenko to better produce
random variables under complicated not necessarily...
2009 Dec 09
0
new version of RobASt-family of packages
The new version 0.7 of our RobASt-family of packages is available on
CRAN for several days. As there were many changes we will only sketch
the most important ones here. For more details see the corresponding
NEWS files (e.g. news(package = "RobAStBase") or using function NEWS
from package startupmsg i.e. NEWS("Ro...
2011 Jan 26
0
New package versions for distr- and robast- families
...distr")).
We are looking forward to getting your RFEs, bug reports
or simple feedback,
Best,
Peter, Matthias, Nataliya
------------------------------------------------------------------------
------------------------------------------------------------------------
New versions 0.8 of our RobASt-family of packages are now
available on CRAN.
(i.e.; RandVar, RobAStBase, ROptEst,
RobLox, ROptEstOld, ROptEstTS, RobRex,
RobLoxBioC)
Most importantly, we have included:
+ a quasi-MC trick by Nataliya Horbenko to better produce
random variables under complicated not necessarily...
2013 Feb 07
1
large sysdata.rda file --- strategies?
Hi,
to speed up computations in our RobASt family of packages, we use
interpolation on a grid of precomputed values which we save together
with the interpolating functions (results of splinefun essentially)
in sysdata.rda in the R folder of our pkg.
After adding grids for some more models, this file has grown
considerably, even after appli...