It is quite unlikely that anyone can help you without a reproducible
example. [1]
You should be aware that sending emails to this list in HTML format is
likely to yield scrambled mails received. Please make your email client send
email in plain text.
[1]
Dear Maram
- Please do not start a new thread for the same issue but reply to
previous messages in this thread [1].
- Please read my previous responses [1] more carefully, e.g. to use
theta - exp( param ) which guarantees that all elements of theta
are always positive.
[1]
Hello,
I am running my full model (fm) through lmer() and MCMCglmm() using the
default settings:
model.lmer - lmer(fm)
model.MCMCglmm - MCMCglmm(fm)
And the summary outputs are almost exactly the same:
summary(model.lmer)
summary(model.MCMCglmm)
However, when I run the models through dredge():
You can go to the package directory:
cd /some/path/to/package
and do
R CMD install .
from a command-line there.
Many github-based packages are also made using RStudio and you can
just open the .Rproj file (i.e. load it into R studio) and build the
package there which will install it.
Thanks David for your response.
Best regards,
SV
- Mail original -
De : David Winsemius dwinsem...@comcast.net
À : varin sacha varinsa...@yahoo.fr
Cc : R-help Mailing List r-help@r-project.org
Envoyé le : Samedi 18 juillet 2015 3h33
Objet : Re: [R] Nagelkerke Pseudo R-squared
On Jul
(slightly off topic)
One might also add that different model fitting criteria might produce
rankings that are quite different, but with model predictions that are
very similar. This reflects the inconvenient reality that empirical
models are merely data interpolators and not representations of
It's implemented in the R rms package's lrm and orm functions.
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/Nagelkerke-Pseudo-R-squared-tp4710014p4710031.html
Sent from the R help mailing list archive at
... but unless there is an outright error in the code, the problem is
due to the specific data and starting values, which means they cannot
be easily reproduced.
More than likely, the optimizer has run into numerical problems. After
all, it is wandering around in 37 dimensional space and the
Corina itsme at CorinaLogan.com writes:
Hello,
I am running my full model (fm) through lmer() and MCMCglmm() using the
default settings:
model.lmer - lmer(fm)
model.MCMCglmm - MCMCglmm(fm)
[snip]
However, when I run the models through dredge():
dredge(model.lmer)
I have read already the other post 'invalid 'labels'; length 2 should be...'
but I don't understand the answer.
I work with the poLCA package and I get this error: Error in factor(ret$y[,
j], labels = lev) :
invalid 'labels'; length 5 should be 1 or 4
What does this mean and what can I do
Hi,
On Sat, Jul 18, 2015 at 9:44 AM, Branko branko.verm...@ugent.be wrote:
I have read already the other post 'invalid 'labels'; length 2 should be...'
but I don't understand the answer.
This is the R-help email list; I don't know what other post you mean
without a link to the mailing list
Hi,
I am using the library fPortfolio e and I would like to change an SetClass.
In particular this function portolioSpec() that as default is:
Model List:
Type: MV
Optimize: minRisk
Estimator: covEstimator
Params: alpha = 0.05 a = 1
Portfolio List:
Target Weights: NULL
Target Return: NULL
Thanks Frank for your response.
I have used the rms package.
Reproducible example here below :
install.packages(rms)
library(rms)
a=c(tres grand, grand, petit,petit,tres
grand,grand,petit,petit,tres grand,grand)
b=c(homme, homme, femme, femme, femme, homme, homme, homme,
femme, femme)
h -
13 matches
Mail list logo