Hello,
Using the package strucchange to implement Bai-Perron methods I found
that sometimes intervals between 2 break dates are exactly equal
to the minimum that I set in the command breakpoints. I think this is
a problem and a signal of possible different breaks with a trimming
value
On Tue, 28 Oct 2014, Erasmo Papagni wrote:
Hello,
Using the package strucchange to implement Bai-Perron methods I found
that sometimes intervals between 2 break dates are exactly equal to the
minimum that I set in the command breakpoints. I think this is a
problem and a signal of possible
Hello,
I have done some research about breakpoints (I am not a statistician) and I
found out about the breakpoint, strucchange and segmented packages in R
allowing to find breakpoints assuming linear model.
However, I would like to fit a periodic time series with a non linear
(periodic) model,
On Fri, 9 Nov 2012, thomas88 wrote:
Hello,
I have done some research about breakpoints (I am not a statistician) and I
found out about the breakpoint, strucchange and segmented packages in R
allowing to find breakpoints assuming linear model.
However, I would like to fit a periodic time
On Fri, 9 Nov 2012, Thomas Coquet wrote:
Hello,
I already tried and looked at the bfast package (very nice package by the
way!) as I am working on VI time series as well.
Good! :-)
However, my model is definitely not linear,
Not even after taking logs or some other transformation?
In
Hello,
I already tried and looked at the bfast package (very nice package by the
way!) as I am working on VI time series as well.
However, my model is definitely not linear, so in worst case scenario my
idea was to use the bfast package to find the breakpoints (with the
harmonic fit) and then to
dear Julian,
Il 18/01/2012 14.36, crimsonengineer87 ha scritto:
Thanks for the comments. Yes, I also had segmented and then I went away from
that. I can't remember. I've tried using it but I get some sort of strange
error. Here's some code ...
it is difficult for me to help you without
Thanks for the comments. Yes, I also had segmented and then I went away from
that. I can't remember. I've tried using it but I get some sort of strange
error. Here's some code ...
pavlu.glm - glm(Na ~ yield, data=pavludata, family=gaussian)
pavlu.seg - segmented(pavlu.glm, seg.Z=~yield,
Dear Forum,
I have been wracking my head over this problem for the past few days. I have
a dataset of (x,y). I have been able to obtain a nonlinear regression line
using nls. However, we would like to do some statistical analysis. I would
like to obtain a confidence interval for the curve. We
Hi, Julian-
I'm not sure if this will be what you want but you could start by taking a look
at:
?predict.nls
Ken
On 01/17/12, crimsonengineer87 julianjonre...@gmail.com wrote:
Dear Forum,
I have been wracking my head over this problem for the past few days. I have
a dataset of (x,y). I
Sorry, that wasn't to helpful...I see that the intervals and se.fit argument
are currently ignored.
On 01/17/12, crimsonengineer87 julianjonre...@gmail.com wrote:
Dear Forum,
I have been wracking my head over this problem for the past few days. I have
a dataset of (x,y). I have been able
Hi Ken,
Thx for that advice. I took a brief look at it. I already have my curve by
just using the curve() function using the parameters a and b given by the
nls. Would se.fit and interval have computed the CI?
Maybe where I'm confused is at how I can break up my curve into pieces of
linear
On Tue, Jan 17, 2012 at 8:06 AM, Kenneth Frost kfr...@wisc.edu wrote:
Sorry, that wasn't to helpful...I see that the intervals and se.fit argument
are currently ignored.
Yes, because the fitted values are nonlinear in the parameters, which
makes finding exact confidence regions impossible. I
On Tue, 17 Jan 2012, crimsonengineer87 wrote:
Dear Forum,
I have been wracking my head over this problem for the past few days. I have
a dataset of (x,y). I have been able to obtain a nonlinear regression line
using nls. However, we would like to do some statistical analysis. I would
like to
On Tue, 17 Jan 2012, Bert Gunter wrote:
On Tue, Jan 17, 2012 at 8:06 AM, Kenneth Frost kfr...@wisc.edu wrote:
Sorry, that wasn't to helpful...I see that the intervals and se.fit argument
are currently ignored.
Yes, because the fitted values are nonlinear in the parameters, which
makes
Thanks for the comments everyone. I was hoping to not have to find someone in
the stats department ... well, we'll see.
So in response to Z's comment ... I have tried breakpoints(Na ~ yield) and I
did expect to get something continuous. The idea was to get two or three
linear functions making up
In respect of fitting piecewise linear regressions, have you looked at
the segmented package?
cheers,
Rolf Turner
On 18/01/12 04:30, crimsonengineer87 wrote:
Dear Forum,
I have been wracking my head over this problem for the past few days. I have
a dataset of (x,y). I have been
On Tue, 17 Jan 2012, crimsonengineer87 wrote:
Thanks for the comments everyone. I was hoping to not have to find someone in
the stats department ... well, we'll see.
So in response to Z's comment ... I have tried breakpoints(Na ~ yield)
and I did expect to get something continuous.
You
Dear list,
I used rqss() in quantreg package for a piecewise linear regression. Can
someone tell me how to find the x values corresponding to the breakpoints
and the slopes for the phases before and after the breakpoints?
I searched the list and gather that there is another package segmented
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