x:::qr.qy and
signature(qr = "sparseQR", y = "dgCMatrix"). What low level functions do I have
to call?
I would also be grateful for any suggestions for finding diagonal values of the
hat matrix in regression problems with large and sparse design matrices.
Best,
Felix Lamp
Hello,
after loading package "fGarch" the function is.na.data.frame() is behaving
different:
> sessionInfo()
R version 2.8.0 (2008-10-20)
i386-pc-mingw32
locale:
LC_COLLATE=English_United States.1252;LC_CTYPE=English_United
States.1252;LC_MONETARY=English_United
States.1252;LC_NUMERIC=C;LC_
Hello,
I have a question concerning the weights argument of the loess
function in the stats package.
Do the weights correspond to multiplying the local regression
equation by the weights or by the square root of the weights (like in lm).
In "http://www.netlib.org/a/cloess.pdf"; page 7 it appears
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