Hello,
Like you say, apparently R doesn't have models for error in variables.
But R packages might have.
library(sos)
findFn('errors-in-variables')
Some look promising. Hope you find something.
Rui Barradas
Em 02-03-2013 21:55, Cedric Sodhi escreveu:
Perhaps it would have been clearer that this is no homework if I
hadn't forgotten to say what [1] is. Sorry for that.
[1] https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=15225
(This is no homework but genuinely adresses the problem that R to my
knowledge does not have models for error in variables)
On Sat, Mar 02, 2013 at 09:34:21PM +0000, Rui Barradas wrote:
There's a no homework policy in R-help.
Rui Barradas
Em 02-03-2013 18:28, Cedric Sodhi escreveu:
In reference to [1], how would you solve the following regression
problem:
Given observations (X_i,Y_i) with known respective error distributions
(e_X_i,e_Y_i) (say, 0-mean Gaussian with known STD), find the parameters
a and b which maximize the Likelihood of
Y = a*X + b
Taking the example further, how many of the very simplified assumptions
from the above example can be lifted or eased and R still has a method
for finding an errors-in-variables fit?
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
