I was trying to understand the boxcox function in MASS to get a better
understanding of where and how the log-Likelihood values are calculated.
By using "debug(boxcox)" I found this code while running the examples:
> m <- length(lambda)
> object <- lm(object, y = TRUE, qr = TRUE, ...)
> result <- NextMethod()
Can someone tell me how this is optimizing the values for Lambda? I'm
assuming that it has something to do with the qr decomposition that happens
in lm?
Thank you,
Gene
Notes and disclaimers:
- Yes, I read the help for NextMethod and boxcox.
- I don't think my OS / R / MASS versions are relevant but if you must
know I happen to be on Windows 8 right now and using R version 3.0.2
(2013-09-25) -- "Frisbee Sailing", Platform: x86_64-w64-mingw32/x64
(64-bit). MASS version is 7.3-29.
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