uk
> CC: r-help@r-project.org
>
> On Tue, May 19, 2009 at 6:17 AM, marc bernard
> wrote:
> >
> > Dear all,
> >
> >
> >
> > I am trying to install a package called "GFCURE" from a local zip file.
> > This package fits a cure survival model
Dear all,
I am trying to install a package called "GFCURE" from a local zip file. This
package fits a cure survival model and has been downloaded from:
http://post.queensu.ca/~pengp/software.html
The problem is that when I try to install this package from a local zip file
using R,
Dear All,
I am desperately trying to find any R package that fits a mixture survival
models also know as a cure models. This are survival model where the survival
function is improper which also means that a fraction of subjects are
expected not to expreience the event. A Huge literature
Dear All,
I am desperately trying to find any R package that fits a mixture survival
models also know as a cure models. These are survival models where the
survival function is improper, which also means that a fraction of subjects
are expected not to expreience the event. A huge literature
Dear all, I am looking for an R package that allows me to calculate and plot
the confidence intervals for the roc curve using for example some
bootstrapping. I tried "ROCR" who seems doing such work but i couldn't find the
right option in it. Many thanks Bests Marc
_
Dear all,
I am looking for an R package that allows me to calculate and plot the
confidence limits for the roc curve using for example some bootstrapping.
I tried "ROCR" who seems doing such work but i couldn't find the right option
to do it.
Many thanks
Bests
Marc
___
Dear all,
This is a relist of my previous question. I noticed that some
characters were not displayed in the previous version.
Is there a function to calculate the prediction intervals for random
effects in non-linear mixed models? I found a way to do it for linear mixed
models but not
Dear all,
Is there a function to calculate the prediction intervals for random
effects in non-linear mixed models? I found a way to do it for linear mixed
models but not for non-linear mixed one.
Many thnaks
Bernard
Dear All,
I don't know whether this question is appropriate for this list or not. My
question is as follows:
I am fitting a non-linear mixed model using the SSlogis function. When the
parameters xmid and scal are both considered as random (let us say model M1),
the p-value for my
Dear all,
I am looking for a good reference on "Survival analysis". I am looking for a
booking containing both applications and Maths. Explaining different methods in
survival analysis
Many thanks
Bernard
-
[[alt
Dear all,
How can I plot the number of observations per box in a boxplot. Many thanks,
Bernard
-
[[alternative HTML version deleted]]
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R-help@r-project.org mailing list
https://stat.
Dear all,
How can I plot the number of observations per box in a boxplot. Many thanks,
Bernard
-
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.
Dear all,
I noticed the following in the call of lme using msVerbose.
fm1 <- lme(distance ~ age, data = Orthodont, control =
lmeControl(msVerbose=T))
9 318.073: -0.567886 0.152479 1.98021
10 318.073: -0.567191 0.152472 1.98009
11 318.073: -0.567208 0.152473
Dear All,
Is there any bootstrap function in nlme for a non linear mixed model. Either
a non-parametric or parametric one.
Thanks
Bernard
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[[alternative HTML version deleted]]
_
Dear All,
Sorry if this question may not be appropriate to this list. I have the
following question about the significance of effects in NLME. I fitted data
with nlme using the SSlogis as a specification for the conditional mean of my
dependent variable Y. When xmid and scal were considered
Dear All,
I wonder if there is any R function to generate a sequence of vectors from
existing ones. For example:
x 1<- c(1,2,3)
x2 <- c(4,5)
x3 <- c(6,7,8)
The desired output is a list of all 3*2*3 = 18 possible combinations of
elements of x1,x2 and x3. One element for example i
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