Well, where exactly are you looking for the option and find that it's absent?
In the Arima estimated model window, I go to Analysis/Forecasts (add some extra obs if necessary), and then in the dialog window in the lower part I can switch from error bars to shaded. Please describe what you do instead.
-s
HI SvenGretl 2025a version being run. Sample data 2001-2023.
Brian
On Thu, 8 May 2025 at 17:25, Sven Schreiber <sven.schreiber@fu-berlin.de> wrote:
_______________________________________________Hi Brian,
cannot confirm that the choice is gone, I just checked with gretl 2025a. Please double-check, and if you still think it's not there anymore, please tell us as always: what version are you running, and ideally exactly what data / sample combination you are using.
cheers
sven
Am 08.05.2025 um 18:05 schrieb Brian Revell:
HIit would appear that the latest Gretl version post estimation in both Arima and OLS Analysis Forecast no longer provides the shaded area confidence interval option that was hitherto available. It is a much preferable option to the confidence interval bars which is the only mrthod and clutters up the graphical presentation which aesthetically clutters up the graphical presentation. Indeed the Arima forecast graphic provides the erro bar in the key, but doesn't even plot it. Any chance of restoring the previous choice selection and functionality?
Brian Revell
On Sat, 11 Jan 2025 at 11:20, Riccardo (Jack) Lucchetti <p002264@staff.univpm.it> wrote:
Dear all,
this message is to inform the community about the activity in our
function package repository: during the month of December 2024, 3
packages were updated to a new version:
"graphlasso", by Sven Schreiber (graphical Lasso --- l1 shrinkage for
covariance matrices)
"lomackinlay", by Allin Cottrell and Sven Schreiber (Lo-MacKinlay
variance ratio test for determining if a time series is a random walk
process)
"BACE", by Marcin Błażejowski and Jacek Kwiatkowski (Bayesian Averaging
of Classical Estimates)
I'll reserve a special mention for the "graphlasso", which now uses a
new internal function to speed up computation.
Sorry if this message comes relatively late in the month, but I was away ;)
Download and enjoy!
-------------------------------------------------------
Riccardo (Jack) Lucchetti
Dipartimento di Scienze Economiche e Sociali (DiSES)
Università Politecnica delle Marche
(formerly known as Università di Ancona)
r.lucchetti@univpm.it
http://www2.econ.univpm.it/servizi/hpp/lucchetti
-------------------------------------------------------
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