Hi, R-helpers, I am working on a problem of measurement error modeling. (I am new to this filed) The model I am dealing with is simple. Consider a linear regression y= beta0 + beta1 * x + error, in which x is measured with errors. (the variance of errors are known. ) I looked up the package simex, and the method is simulation-extrapolation estimation. So I was wondering that if there is any existing package that using maximum likelihood approach to estimate the coefficient. Any suggestions and helps are highly appreciated. Thank you, Carrie-- [[alternative HTML version deleted]]
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]]