Marc Fischer
2008-Jul-27 18:29 UTC
[R] equivalent R functions for Numerical Recipes fitxy and fitexy ?
Dear Folks, We need to fit the model y~x assuming there are random errors in both x and y. Numerical Recipes (Press et al.) have two useful functions, fitxy and fitexy, which handle cases of unspecified and specified errors respectively. Are there equivalent functions in base R or a installable package? Alternatively, has anyone written a wrapper to provide an interface to a library of Numerical Recipes routines constructed for Linux? Kind regards, Marc
Marc Fischer
2008-Jul-27 23:49 UTC
[R] equivalent R functions for Numerical Recipes fitxy and fitexy ?
Dear Folks, We need to fit the model y~x assuming there are random errors in both x and y. Numerical Recipes (Press et al.) have two useful functions, fitxy and fitexy, which handle cases of unspecified and specified errors respectively. Are there equivalent functions in base R or a installable package? Alternatively, has anyone written a wrapper to provide an interface to a library of Numerical Recipes routines constructed for Linux? Kind regards, Marc
Liaw, Andy
2008-Jul-31 13:23 UTC
[R] equivalent R functions for Numerical Recipes fitxy and fitexy ?
Not a direct answer to your questions, but for error-in-variables
problems, there are newer technologies than what is in NR. For example:
install.packages("simex")
library(simex)
example(simex)
Andy
From: Marc Fischer>
> Dear Folks,
>
> We need to fit the model y~x assuming there are random
> errors in both
> x and y. Numerical Recipes (Press et al.) have two useful
> functions,
> fitxy and fitexy, which handle cases of unspecified and specified
> errors respectively.
>
> Are there equivalent functions in base R or a installable package?
> Alternatively, has anyone written a wrapper to provide an
> interface to
> a library of Numerical Recipes routines constructed for Linux?
>
> Kind regards,
>
> Marc
>
> ______________________________________________
> R-help at 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.
>
Notice: This e-mail message, together with any attachme...{{dropped:12}}