Hi Duncan,
Thank you for your message. All of those citations and suggestions are
wonderful and highly relevant for GEEs. My concern is that I need
multi-level/nested correlation structures, whereas those handle the
specification of covariance matrices at the level of repeated observations
wi
Just figured out the label format!
Erin Hodgess, PhD
mailto: erinm.hodg...@gmail.com
On Mon, Jul 13, 2020 at 6:58 PM Paul Bernal wrote:
> Dear friend, yes,
>
> When I generate the forecasts i want the output to include the original
> series, the fitted vaules and the forecast and I want the x-
I’m not entirely sure if we can do the Y-m-d format, but I will give it a
try!
Thanks
On Mon, Jul 13, 2020 at 6:58 PM Paul Bernal wrote:
> Dear friend, yes,
>
> When I generate the forecasts i want the output to include the original
> series, the fitted vaules and the forecast and I want the x-
Dear friend, yes,
When I generate the forecasts i want the output to include the original
series, the fitted vaules and the forecast and I want the x-axis to show
all dates (both the dates of the historical series plus the future dares in
-mm-dd format).
Thank you so much for your kind and va
Hi again, Paul!
When you are plotting the final product, do you want both the original
series, the fitted values, and the forecast, please?
I am messing around with your data.
Thanks,
Erin
Erin Hodgess, PhD
mailto: erinm.hodg...@gmail.com
On Mon, Jul 13, 2020 at 12:41 PM Paul Bernal wrote:
Dear friend Erin,
Thank you so much for your kind reply. I have not tried xts nor zoo, but I
will give it a shot and let you know how it goes.
Best regards,
Paul
El lun., 13 jul. 2020 a las 13:44, Erin Hodgess ()
escribió:
> Hi Paul
>
> Have you looked at the xts or zoo packages, please?
>
> T
This question is off topic here (it is not about R... read the Posting Guide...
contributed packages are not R), but... it is not AFAIK possible to install R
on ChromeOS though you can install it within the "Linux (Beta)" container,
which comes by default with the Debian distribution.
Assuming
I am trying to install minpack.lm on R 3.3.3 on a Chromebook. But I
get this error:
```
> install.packages("minpack.lm")
Installing package into ‘/home/marongiuluigi/R/x86_64-pc-linux-gnu-library/3.3’
(as ‘lib’ is unspecified)
trying URL 'https://cran.rstudio.com/src/contrib/minpack.lm_1.2-1.tar.gz
Hi Paul
Have you looked at the xts or zoo packages, please?
They work very well on daily series.
Thanks,
Erin
On Mon, Jul 13, 2020 at 12:41 PM Paul Bernal wrote:
> Dear friends, hope you are doing great,
>
> I am working with a daily time series, the series starts on march,10, 2020
> until ju
Dear friends, hope you are doing great,
I am working with a daily time series, the series starts on march,10, 2020
until july 9th, 2020.
I would like to know if there is a way to make it a ts object, specifying
the year, month and day with the ts function.
First, I tried setting the ts object as
Dear Axel,
A few quick remarks.
1) This question is more suitable for r-sig-mixed-models.
2) A mixed model needs much more than two groups. If you have only a few
groups, consider a glm with group interactions.
3) Setting the value of a covariate to zero for a set of observations has
the same eff
Hello,
Got the following info from the brms package Maintainer.
"This is a caused by a problem in the current rstan CRAN version on
Windows and is not related to brms. You can find various threads that
deal with that topic on https://discourse.mc-stan.org/. For now, it
may be easiest to revert to
Dear List,
I’d appreciate any guidance on the following.
I’m using a mixed effects logistic regression model, to allow coefficients to
vary by a group variable. However, my case is not typical in the sense that I
need to specify a different set of covariates for each level of the group
varia
Hello,
I upgraded today to R4.0.2 from 3.6.3 on my Windows machine (actually
2 of them - first desktop and then laptop just to verify the problem)
and on both of them I am getting the following error when running the
brms::brm function example code.
```
> bprior1 <- prior(student_t(5,0,10), class
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