Displaying 20 results from an estimated 60000 matches similar to: "general location model"
2004 Jul 06
0
Model frame manipulation
Dear all,
I am implementing a redundant variables F-test. For that I need to
compute 2 models, restricted and unrestricted, then extracting the
residuals to calculate the test statistic.
I borrowed this elegant solution from the LMtest package to rebuild the
first of the matrices involved (the unrestricted one) on the basis of
model spec. and data
>red.var.test<-function(formula,
2005 Sep 27
0
Help: A application error and failed just-in-debugging.
Hello all,
When I ran my R program in R version 2.1.1 in windows XP and 2000, and I
downloaded a package call "MIX", I got an application error:
RGui:Rgui.exe - Application Error:
The instruction at "0x1009d8a1" referenced memory at "0xbde48f58". The
memory could not be "read".
Click on ok to terminate the program
click on cancel to debug the program
2009 Apr 21
1
Package or packages for randomization in a clinical trial
Can anyone recommend a package that can be used to randomize subjects? I am looking for a generalized package, or several packages that can accomplish
unrestricted randomization (i.e. simple random assignment)
restricted randomization including stratified randomization, blocked randomization, and adaptive randomization.
Thanks,
John
John David Sorkin M.D., Ph.D.
Chief, Biostatistics and
2011 Jul 19
0
Questions about DCC-GARCH Model
Dear list members,
I'm trying to use DCC-GARCH model to estimate the correlation. I have
downloeaded ccgarch packeage but can't understand some argument in the
formula.
dcc.estimation(inia, iniA, iniB, ini.dcc, dvar, model, method="BFGS",
gradient=1, message=1)
which is on R.Help
I understand others except "ini.dcc" which is described as "a vector of
initial
2003 Sep 29
2
problem in integrating C routine with R on windows XP
Hi All,
I a C function code, which has been successed in integrating
with Splus on Unix. Now I want to move it on windows.
So I want to integrate this C function with R on windows XP.
I download tools.zip and saved it in c:\bin directory,
download MinGW and saved it in c:\MinGw directory,
download Perl and saved it in c:\Perl directory.
My path is set as:
2009 Sep 08
3
Omnibus test for main effects in the face ofaninteraction containing the main effects.
Daniel,
When Group is entered as a factor, and the factor has two levels, the
ANOVA table gives a p value for each level of the factor. What I am
looking for is the omnibus p value for the factor, i.e. the test that
the factor (with all its levels) improves the prediction of the outcome.
You are correct that normally one could rely on the fact that the model
2007 Jul 12
1
mix package causes R to crash
Dear Professor Schaefer
I am experiencing a technical difficulty with your mix package.
I would appreciate it if you could help me with this problem.
When I run the following code, R 2.5.1 and R 2.6.0 crashes.
It's been tested on at least 2 windows machine and it is consistent.
Execution code it's self was coped from the help file of imp.mix.
Only thing I supplied was a fake dataset.
2009 Feb 10
1
loglik and arima()
All -
I am evaluating an arima(2,1,3) and arima(3,1,3) and notice the
log-likelihood of the restricted model is higher than the log-likelihood
of the unrestricted.
Since these are nested models, I thought the unrestricted model would have
a log-likelihood at least as large as that of the restricted model. Am I
interpreting the "loglik" output incorrectly?
Regards,
Stephen
2012 Mar 21
0
multivariate ordinal probit regression vglm()
Hello, all.
I'm investigating the rate at which skeletal joint surfaces pass
through a series of ordered stages (changes in morphology). Current
statistical methods in this type of research use various logit or
probit regression techniques (e.g., proportional odds logit/probit,
forward/backward continuation ratio, or restricted/unrestricted
cumulative probit). Data typically include the
2012 Oct 24
0
Five cases of the Multivariate VECM
Hello,
I was studying several packages related to time series analysis (urca,
vars, tseries). I understand that we can estimate a VECM and also test
restrictions on alphas and betas. However, I couldn't find a function that
allows me to specify the five cases of VECM (restricted constant,
unrestricted constant, restricted and unrestricted trend and no constant).
Is there any function that
2011 Mar 30
1
VECM with UNRESTRICTED TREND
Dear All,
My question is:
how can I estimate VECM system with "unrestricted trend" (aka "case 5")
option as a deterministic term?
As far as I know, ca.jo in urca package allows for "restricted trend"
only [vecm
<- ca.jo(data, type = "trace"/"eigen", ecdet = "trend", K = n, spec =
"transitory"/"longrun")].
2005 Dec 14
3
glmmADMB: Generalized Linear Mixed Models using AD Model Builder
Dear R-users,
Half a year ago we put out the R package "glmmADMB" for fitting
overdispersed count data.
http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html
Several people who used this package have requested
additional features. We now have a new version ready.
The major new feature is that glmmADMB allows Bernoulli responses
with logistic and probit links. In addition there
2024 Apr 23
1
System GMM yields identical results for any weighting matrix
A copy of this question can be found on Cross Validated:
https://stats.stackexchange.com/questions/645362
I am estimating a system of seemingly unrelated regressions (SUR) in R.
Each of the equations has one unique regressor and one common regressor. I
am using `gmm::sysGmm` and am experimenting with different weighting
matrices. I get the same results (point estimates, standard errors and
2008 May 04
1
Validating a mixed-effects model
Hi
I constructed a mixed-effects model from longitudinal repeated
measurements of lab values in 22 patients seperated into two groups
with the groups as fixed effect using lme. I thought about using the
jackknife procedure, i. e., removing any one subject and calculating
the fixed effect, to assess the stability of the fixed effect and
thereby validate the model. I suppose this has been done in
2024 Apr 23
1
System GMM yields identical results for any weighting matrix
Generally speaking, this sort of detailed statistical question about a
speccial package in R does not get a reply on this general R
programming help list. Instead, I suggest you either email the
maintainer (found by ?maintainer) or ask a question on a relevant R
task view, such as
https://cran.r-project.org/web/views/Econometrics.html . (or any other
that you judge to be more appropriate).
2017 May 07
2
[Bug 2713] New: Please provide a StrictModes-like setting (command line parameter) for ssh (client)
https://bugzilla.mindrot.org/show_bug.cgi?id=2713
Bug ID: 2713
Summary: Please provide a StrictModes-like setting (command
line parameter) for ssh (client)
Product: Portable OpenSSH
Version: 7.5p1
Hardware: Other
OS: Other
Status: NEW
Severity: enhancement
Priority: P5
2004 Apr 10
1
Archive Post ISDN Q.931 disconnect cause codes
Keywords
T1 Q.931 isdn disconnect cause codes itu standard libpri
Dont know if anyone wondered what q.931 cause codes are
but i wishwe could get these back into the dial plan as a var
Standard Q931 Codes
Decimal Value Hexadecimal Value
Definition
1 01 Unallocated (unassigned) number.
This number is not in the routing table or it has no path
across the ISDN cloud (network).
1. Check routing
2009 Mar 06
1
Parked Calls in 1.4.23.1
I know the call parking feature changed in 1.4.23.1 to fix some serious
issues. I'm seeing a major change though which I find disturbing.
A person parks a call by transferring it to the parking position (700).
When the timeout value is reached, the call is NOT returned to that
device, but rather the 's' extension of the phone's registered context
(in this case [unrestricted]).
2013 Jan 21
0
random draw from a RESTRICTED pareto distribution
Dear R user,
I am a newcomer and need help concerning 'draw a random number for a
restricted area of a prareto distribution'.
(1) For estimation of pareto distribution:
>http://stats.stackexchange.com/questions/27426/how-do-i-fit-a-set-of-data-to-a-pareto-distribution-in-r<
We calculate the pareto distribution (parameter estimation) as follows:
pareto.MLE <- function(X)
{
n
2010 Jan 19
1
restricted permutations in permtest()?
Hallo List,
I'm trying to implemement a restricted permutation scheme in permutest(). More
precisely I have dependence in my data that should be allowed for in the
permutation - I simulated the problem in the example of the vegan documentation
p.24:
library(vegan)
data(varespec)
## Bray-Curtis distances between samples
dis <- vegdist(varespec)
## First 16 sites grazed, remaining 8 sites