Hello all,
I am currently writing a thesis in Value at Risk prediction and have to
model a data set of four stocks. I want to simulate 1 times from the
used D-vine and predict 300 new datapoints, but am not quiet sure how to do
this correctly. The produced matrix should have dimension N x numb
In the previous versions of R (2.6.1), when a vector of NA was given to the
functions 'sd' or 'var' with parameter na.rm = TRUE, it used to return NA. Now
(2.7.1) it returns an ERROR :
Example in 2.6.1:
> sd(c(NA, NA, NA, NA), na.rm = TRUE)
[1] NA
Example in 2.7.1:
> sd(c(NA, NA, NA,
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