Displaying 20 results from an estimated 500 matches similar to: "Heteroskedasticity in R"
2000 Dec 08
0
Re: R-help Digest V2 #283
R-help Digest wrote:
> ------------------------------
>
> Date: Thu, 07 Dec 2000 18:28:09 +0100
> From: Uwe Ligges <ligges at statistik.uni-dortmund.de>
> Subject: Re: [R] Heteroskedasticity in R
>
> Vincent Leycuras wrote:
> >
> > Hi all,
> >
> > I just discovered R a couple of days ago and I must say it rocks. I've been
> > looking
2013 Apr 05
1
white heteroskedasticity standard errors NLS
Hello
Is there any function to calculate White's standard errors in R in an NLS
regression.
The sandwich and car package do it but they need an lm object to calculate
the error's.
Does anyone have idea how to do it for an NLS object ?
Regards
The woods are lovely, dark and deep
But I have promises to keep
And miles before I go to sleep
And miles before I go to sleep
-----
[[alternative
2009 Feb 10
2
Help regarding White's Heteroscedasticity Correction
Hi
I am actually running the White test for correcting Heteroscedasticity. I
used sandwich() & car(), however the output shows the updated t test of
coefficients, with revised Standard Errors, however the estimates remained
same. My problem is that the residuals formed a pattern in the original
regression equation. After running the White's test, I got some new
standard errors - but
2002 Mar 22
3
heteroskedasticity-robust standard errors
I am trying to compute the white heteroskedasticity-robust standard errors
(also called the Huber standard errors) in a linear model, but I can't seem
to find a function to do it. I know that the design library in S+ has
something like this (robcov?), but I have not yet seen this library ported
to R.
Anyone know if there is already a function built into R to do this
relatively simple job?
2004 Jul 21
2
Testing autocorrelation & heteroskedasticity of residuals in ts
Hi,
I'm dealing with time series. I usually use stl() to
estimate trend, stagionality and residuals. I test for
normality of residuals using shapiro.test(), but I
can't test for autocorrelation and heteroskedasticity.
Is there a way to perform Durbin-Watson test and
Breusch-Pagan test (or other simalar tests) for time
series?
I find dwtest() and bptest() in the package lmtest,
but it
2011 Jul 25
1
predict() and heteroskedasticity-robust standard errors
Hello there,
I have a linear regression model for which I estimated
heteroskedasticity-robust (Huber-White) standard errors using the
coeftest function
in the lmtest-package.
Now I would like to inspect the predicted values of the dependent
variable for particular groups and include a confidence interval for
this prediction.
My question: is it possible to estimate confidence intervals for the
2009 Sep 18
1
some irritation with heteroskedasticity testing
Dear all,
Trying to test for heteroskedasticity I tried several test from the
car package respectively lmtest. Now that they produce rather
different results i am somewhat clueless how to deal with it.
Here is what I did:
1. I plotted fitted.values vs residuals and somewhat intuitively
believe, it isn't really increasing...
2. further I ran the following tests
bptest (studentized
2006 Apr 25
5
Heteroskedasticity in Tobit models
Hello,
I've had no luck finding an R package that has the ability to estimate a
Tobit model allowing for heteroskedasticity (multiplicative, for example).
Am I missing something in survReg? Is there another package that I'm
unaware of? Is there an add-on package that will test for
heteroskedasticity?
Thanks for your help.
Cheers,
Alan Spearot
--
Alan Spearot
Department of Economics
2007 Nov 09
1
White's test again
Hi all,
It seems that I can get White's (HC3) test using MASS. The syntax I
used for the particular problem is
anova(scireg3, white.adjust="hc3")
where scireg3 is an object from the lm function. But, the anova summary
table is all I get. I don't get the new estimates or standard errors
correcting for heteroskedasticity. Is there a way to get that information?
Thanks
2010 May 10
2
Robust SE & Heteroskedasticity-consistent estimation
Hi,
I'm using maxlik with functions specified (L, his gradient & hessian).
Now I would like determine some robust standard errors of my estimators.
So I 'm try to use vcovHC, or hccm or robcov for example
but in use one of them with my result of maxlik, I've a the following
error message :
Erreur dans terms.default(object) : no terms component
Is there some attributes
2011 Nov 24
1
CAPM-GARCH - Regression analysis with heteroskedasticity
Hey Guys,
i want to do a CAPM-GARCH model. I didn?t find anything posted online.
(If there is something - shame on me - i didn?t find it.)
My Problem: What is the difference if I let the residuals ?e? follow a
garch process ?
How do I do my regression analysis now? I began reading about regression
analyis with heteroscedasticity, but didn?t get it.
So i started programming.
First
2009 Jun 26
1
Heteroskedasticity and Autocorrelation in SemiPar package
Hi all,
Does anyone know how to report heteroskedasticity and autocorrelation-consistent standard errors when using the "spm" command in SemiPar package? Suppose the original command is
sp1<-spm(y~x1+x2+f(x3), random=~1,group=id)
Any suggestion would be greatly appreciated.
Thanks,
Susan
[[alternative HTML version deleted]]
2010 Dec 20
1
After heteroskedasticity correction, how can I get new confidential interval?
I just corrected std.error of my 'model'(Multi Regression).
Then how can I get new t and p-values?
Isn't there any R command which shows new t and p values?
--
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2012 Sep 18
1
Contradictory results between different heteroskedasticity tests
Hi all,
I'm getting contradictory results from bptest and ncvTest on a model
calculated by GLS as:
olslm = lm(log(rr)~log(aloi)*reg*inv, data)
varlm = lm(I(residuals(olslm)^2)~log(aloi)*reg*inv, data)
glslm = lm(log(rr)~log(aloi)*reg*inv, data, weights=1/fitted(varlm))
Testing both olslm and glslm with both ncvTest and bptest gives:
> ncvTest(olslm)
Non-constant Variance Score Test
2007 Jan 09
1
RSQLite NA on input
Hello
I haev some .csv data files with missing values - eg below
1,'F','C04','X100',20.93,'C','B',7,8,7.5,2421,2230,2230,2,1,85,43,85,46,48,60
If I have a missing value - so file looks like ,85,46,,48, etc
then RSQLite reads it as zero. ,85,46,0,48, etc
I need it read it as NA.
Tried various combinations with no success, adn found nothing on help
site.
2007 Mar 15
1
Problem installing SystemVision from MentorGraphics
Hi,
I have a problem installing SystemVision from MentorGraphics in wine. The
problem is with the packaged Java Runtime 1.3.1.
The error output when installing is:
Exception in thread "main" java.lang.ExceptionInInitializerError:
java.lang.RuntimeException:
Unable to create a suitable default GraphicsConfiguration. Try changing your
Display Settings.
at
2007 Jan 02
1
RMySQL adn FC6 - install fail
Dear anybody
I am running Fedora Core 6 with the latest version of R.
When I try to install the package RMySQL I get this message:
* Installing *source* package 'RMySQL' ...
creating cache ./config.cache
checking how to run the C preprocessor... /lib/cpp
checking for compress in -lz... no
checking for getopt_long in -lc... no
checking for
2004 Apr 01
1
YUV Format
I posted this the other day... but it didn't get delivered...
-------------------------------------------------------------------
I'm getting stuck into a theora decoder for directshow... i was just wondering if someone could give me some info.
What output format does theora use ?
http://msdn.microsoft.com/library/default.asp?url=/library/en-us/dnwmt/html/YUVFormats.asp
2007 Mar 28
2
code-metrics for ruby (on rails)
I''m searching for code analysing tools for Ruby (on Rails). I know
some tools for Java and DotNet but I can''t seem to find much for Ruby.
Things I''m interested in are metrics like coupling (fan-in, fan-out),
complexity (McCabe), inheritance nesting levels etc.
The only tools I found so far are saikuro(only mccabe) and kwala
(seems like a frontend for saikuro)
If you
2010 Dec 27
0
Heteroskedasticity and autocorrelation of residuals
Hello everyone,
I'm working on a current linear model Y = a0 + a1* X1 + ... + a7*X7 +
residuals. And I know that this model presents both heteroskedasticity
(tried Breusch-Pagan test and White test) and residuals autocorrelation
(using Durbin Watson test). Ultimately, this model being meant to be used
for predictions, I would like to be able to remove this heteroskedasticity
and residuals