[R] package for measurement error models

[David Winsemius]

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: carrieandstat at gmail.com
>> To: R-help at 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--
>>
>> [[alternative HTML version deleted]]
>>
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> 		 	   		
> ______________________________________________
> R-help at r-project.org mailing list
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

David Winsemius, MD
West Hartford, CT