nk you! It's exactly what I needed.
---
BR,
Alexandr
On 11 November 2014 23:33, Marco Scutari wrote:
> Hi Alexandr,
>
> On 11 November 2014 00:10, Alexandr M wrote:
> > Sorry that I formulated my question not very accurately.
> > I form expressions/(logic condit
= eval(parse(text=str1)),
evidence = eval(parse(text=str2)))
...
}
For the simple query you are trying to do, just use likelihood weighting
Sorry that I formulated my question not very accurately.
I form expressions/(logic conditions for parameters evidence and event)
dynamically
ion cpquery()
- I also trued to use backslashes \' \" - doesn't work too
--
Best regards,
Alexandr
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PLEASE d
##
Probably in this case samples are a consecutive subsets of the data but
they are not grouped as in an example.
I would like to apply qcc() like rollapply(width = sample_size, by =
step) in such a way that 'width' would stands for a samples taken from an
input data.
Good day everybody!
Please help me with NaN result in nlminb function.
I use the following:
The function that present weighted maximum likelihood:
garchLLH<-
function(parm) {
mu = parm[1]; omega = parm[2]; alpha = parm[3]; beta = parm[4]
z = (x-mu); Mean = mean(z^2)
# Use Filter Representation:
e
t;gaussian", ...)
mypanel.average(FUN=min, pch=3, col="black", ...)
mypanel.average(FUN=mean, pch=20, col="black", ...)
mypanel.average(FUN=median, pch=0, col="black", ...)
}
)
Regards,
Alexandr
On Tue, Oct 19, 2010 at 1:52 PM, Deepayan Sarkar
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