Turgut,

I'm afraid you'll have to write it by yourself.

Dhanoa and Sanderson (Can J Zool, 66:821-823, 2010) mention the FREML Excel add-in written by Ripley and Thompson (available on the Royal Society of Chemistry's website at the moment of writing that paper) and that the simulation and extrapolation procedure has been implemented in R (Simex package) but they remark that "simple linear regression typically would not be a candidate for SIMEX analysis".

Hope this helps, and good luck with your piece of coding!

Jos?

Jos? Iparraguirre

Chief Economist

Age UK

T 020 303 31482

E Jose.Iparraguirre at ageuk.org.uk

Twitter @jose.iparraguirre at ageuk

Tavis House, 1- 6 Tavistock Square

London, WC1H 9NB

www.ageuk.org.uk?| ageukblog.org.uk | @ageukcampaigns

For evidence and statistics on the older population, visit the Age UK Knowledge Hub

http://www.ageuk.org.uk/professional-resources-home/knowledge-hub-evidence-statistics/-----Original Message-----

From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Jeff Newmiller

Sent: 06 September 2012 18:52

To: Turgut Durduran; Turgut Durduran; r-help at stat.math.ethz.ch

Subject: Re: [R] Query on how to do maximum likelihood fitting of a functional (MLFR)

This is the third time I have seen this message. I don't have an answer for you. Someone else might, but repeatedly posting won't make an answer magically appear, and if no one knows what you are talking about you won't see any response. In that case you may need to translate your references into R code yourself.

You may want to acquaint yourself with the RSiteSearch() function, the maintainer() function, and reading source code of libraries as first steps toward understanding how to implement these algorithms yourself.

---------------------------------------------------------------------------

Jeff Newmiller The ..... ..... Go Live...

DCN:<

jdnewmil@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...

Live: OO#.. Dead: OO#.. Playing

Research Engineer (Solar/Batteries O.O#. #.O#. with

/Software/Embedded Controllers) .OO#. .OO#. rocks...1k

---------------------------------------------------------------------------

Sent from my phone. Please excuse my brevity.

Turgut Durduran wrote:

Hello all,

Evidently my previous message met some filter due to subject line. I am

re-sending my message. I apologize if this was sent out twice.

Based on "Ripley & Thompson, Analyst, 1987", I am trying to do a

regression of my data which assumes a linear

relationship between measurements by two modalities of the same

physiological parameter. The complication is that my errors are

heterogeneous, i.e. not only both X & Y variables have significant

variances, their ratio and individual values differ greatly between

subjects. I believe a simple linear regression (which ignores the

variances) is underestimating the slope of the relationship while a

method like deming regression is overestimating (or underestimating

depending on what I give as the ratio) since it assumes a constant

ratio

of the variable. Therefore, I have concluded that I need to do the full

MLFR type of analysis suggested in that paper.

Looking through

archives and such, I could not find a direct implementation for R. I

think a related method is that implemeted in "leiv" package which

implements errors-in-variables methods.

Admittedly, I am bit lazy

and I did not dig into "leiv" implementation to figure out the

differences and whether giving the ratio of the standard errors of Y to

those of X for each point actually is correct.

I am wondering if anyone has implemented this method in R and has an

example that I can look that.

While at it,? I am wondering what is the way to estimate the 95%

confidence interval in the results both for "leiv" and "MLFR".

Thanks,

Turgut?

______________________________________________

R-help at r-project.org mailing list

https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide

http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.

______________________________________________

R-help at r-project.org mailing list

https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide

http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.

Age UK and YouthNet are official charities for the Virgin London Marathon 2013

We need you to Run for it. Join the team and help raise vital funds to bring generations together to combat loneliness and isolation.

Go to

http://www.runforit.org.uk for more information or contact Helen Parson at helen.parsons at ageuk.org.uk or on 020 303 31369.

Age UK and YouthNet. A lifeline, online.

www.runforit.org.uk

Age UK Improving later life

www.ageuk.org.uk

-------------------------------

Age UK is a registered charity and company limited by guarantee, (registered charity number 1128267, registered company number 6825798).

Registered office: Tavis House, 1-6 Tavistock Square, London WC1H 9NA.

For the purposes of promoting Age UK Insurance, Age UK is an Appointed Representative of Age UK Enterprises Limited, Age UK is an Introducer

Appointed Representative of JLT Benefit Solutions Limited and Simplyhealth Access for the purposes of introducing potential annuity and health

cash plans customers respectively. Age UK Enterprises Limited, JLT Benefit Solutions Limited and Simplyhealth Access are all authorised and

regulated by the Financial Services Authority.

------------------------------

This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are

addressed. If you receive a message in error, please advise the sender and delete immediately.

Except where this email is sent in the usual course of our business, any opinions expressed in this email are those of the author and do not

necessarily reflect the opinions of Age UK or its subsidiaries and associated companies. Age UK monitors all e-mail transmissions passing

through its network and may block or modify mails which are deemed to be unsuitable.

Age Concern England (charity number 261794) and Help the Aged (charity number 272786) and their trading and other associated companies merged

on 1st April 2009. Together they have formed the Age UK Group, dedicated to improving the lives of people in later life. The three national

Age Concerns in Scotland, Northern Ireland and Wales have also merged with Help the Aged in these nations to form three registered charities:

Age Scotland, Age NI, Age Cymru.