There is a MethComp package from Bendix Carstensen that does not seem
to be on CRAN yet.
http://staff.pubhealth.ku.dk/~bxc/MethComp/
But it is on R-Forge:
https://r-forge.r-project.org/R/?group_id=364
--
David.
On Aug 7, 2010, at 4:50 PM, Christos Argyropoulos wrote:
I believe there was a fairly recent exchange (within the last 6
months) about linear measurement error models/error-in-variable
models/Deming regression/total least squares/orthogonal regression.
Terry Therneau provided code for an R function that can estimate
such models:
http://www.mail-archive.com/r-help@r-project.org/msg85070.html
If your knowledge of Fortran is up to the task, there is a Netlib
package called ODRpack that can fit such models. Kind of surprising
that no one has not written a R wrapper for this library (yet).
Christos
----------------------------------------
Date: Sat, 7 Aug 2010 11:21:01 -0400
From: carrieands...@gmail.com
To: R-help@r-project.org
Subject: [R] package for measurement error models
Hi,all,
I posted this question couple of days again, but haven't gotten any
answers
back. I would like to post it again, and if you have any ideas,
please let
me know. Any helps and suggestions are very much appreciated.
The problem is about linear regression with both y and x have
measurement,
and the variance of errors are heterogeneous. The estimated
regression
coefficient and its variance are of interest. Is any R package
doing this
task ?
Thank you
Carrie--
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David Winsemius, MD
West Hartford, CT
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