# Version 1.16 candidate 1 released **URL:** \ **Category:** Announcements\ **Created:** [October 27, 2020, 8:45am UTC](https://openturns.discourse.group/t/version-1-16-candidate-1-released/47 "2020-10-27T08:45:19Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![schueller](https://yyz2.discourse-cdn.com/free1/user_avatar/openturns.discourse.group/schueller/32/3_2.png) [@schueller](https://openturns.discourse.group/u/schueller)\ **Post date:** [October 27, 2020, 8:45am UTC](https://openturns.discourse.group/t/version-1-16-candidate-1-released/47/1 "2020-10-27T08:45:19Z")
We are happy to announce the availability of OpenTURNS 1.16 RC1 today. This release introduces grid graphs, hdf5 storage, a new example gallery: > **[Examples — OpenTURNS 1.16rc1 documentation](https://openturns.github.io/openturns/latest/examples/examples.html)** … and more under the hood. For detailed informations you can have a look at the changelog: > Or the release highlights: > **[Jupyter Notebook Viewer](https://nbviewer.jupyter.org/github/openturns/notebooks/blob/master/release_highlights_1_16.ipynb)** > > Check out this Jupyter notebook! For debian users, note the debian repository moved ant that you may have to update your configuration, see the installation instructions. This a release candidate, your feedback is important for the final release due in a few weeks, so dont hesitate to report bugs. The OpenTURNS team ---
**Author:** ![dumas](https://yyz2.discourse-cdn.com/free1/user_avatar/openturns.discourse.group/dumas/32/12_2.png) [@dumas](https://openturns.discourse.group/u/dumas)\ **Post date:** [October 27, 2020, 4:40pm UTC](https://openturns.discourse.group/t/version-1-16-candidate-1-released/47/2 "2020-10-27T16:40:22Z")
I just read the changelog and discover the FittingTest::Lilliefors that I did not know. I read that it is more robust that Kolmogorov when parameters’ distribution are estimated from the sample. But it seems that it is only valid when the sample is from a Normal population, is this correct ? ---
**Author:** ![sofianehaddad](https://yyz2.discourse-cdn.com/free1/user_avatar/openturns.discourse.group/sofianehaddad/32/46_2.png) [@sofianehaddad](https://openturns.discourse.group/u/sofianehaddad)\ **Post date:** [October 27, 2020, 8:49pm UTC](https://openturns.discourse.group/t/version-1-16-candidate-1-released/47/3 "2020-10-27T20:49:41Z")
Hey @schueller thanks for the release highlights notebook! I had it in mind and just started this but this is more complete 👌 @dumas The Lilliefors is valid for all factories. Have a look at [Lilliefors Test](https://github.com/openturns/openturns/blob/v1.16rc1/lib/src/Uncertainty/StatTests/FittingTest.cxx#L531) ---
**Author:** ![oussama-braydi](https://yyz2.discourse-cdn.com/free1/user_avatar/openturns.discourse.group/oussama-braydi/32/112_2.png) [@oussama-braydi](https://openturns.discourse.group/u/oussama-braydi)\ **Post date:** [February 8, 2021, 7:35pm UTC](https://openturns.discourse.group/t/version-1-16-candidate-1-released/47/4 "2021-02-08T19:35:59Z")
Hello, I have the openturns 1.15 installed in my system, how can I get (or updated) the latest version of Openturns via anaconda, using a command line? Thanks in advance, ---
**Author:** ![josephmure](https://yyz2.discourse-cdn.com/free1/user_avatar/openturns.discourse.group/josephmure/32/114_2.png) [@josephmure](https://openturns.discourse.group/u/josephmure)\ **Post date:** [February 9, 2021, 8:47am UTC](https://openturns.discourse.group/t/version-1-16-candidate-1-released/47/5 "2021-02-09T08:47:21Z")
Hello @oussama-braydi. Normally the `install` command will update your package if it is already installed. Version 1.16 is the current stable version of OpenTURNS. `conda install -c conda-forge openturns` ---
**Author:** ![oussama-braydi](https://yyz2.discourse-cdn.com/free1/user_avatar/openturns.discourse.group/oussama-braydi/32/112_2.png) [@oussama-braydi](https://openturns.discourse.group/u/oussama-braydi)\ **Post date:** [February 9, 2021, 10:38am UTC](https://openturns.discourse.group/t/version-1-16-candidate-1-released/47/6 "2021-02-09T10:38:15Z")
Thank you @josephmure for your answer, However, when I try to update or install openturns in the current conda environment, many conflicts are displayed. The problem is fixed by creating a new conda environment and use it to install openturns 1.16 and the other needed package. ---
**Author:** ![MichaelBaudin](https://yyz2.discourse-cdn.com/free1/user_avatar/openturns.discourse.group/michaelbaudin/32/9_2.png) [@MichaelBaudin](https://openturns.discourse.group/u/MichaelBaudin)\ **Post date:** [February 9, 2021, 1:04pm UTC](https://openturns.discourse.group/t/version-1-16-candidate-1-released/47/7 "2021-02-09T13:04:39Z")
Hi Antoine! The Kolmogorov test is not more robust when parameters are estimated: Kolmogorov test is wrong when parameters are estimated from data. The question has already been discussed at: > [@Kolmogorov-Smirnov test in OT](https://openturns.discourse.group/t/kolmogorov-smirnov-test-in-ot/81): > > hello, This might be a naive question but i was surprised to find that KS test in OT does not show a “deterministic” behavior. The resulting p-value is sometimes big enough, sometimes very close to 0, for a given sample and a given theoretical distributionFactory object. am i missing something here ? or is it just some numerical approximation thing ? thanks, sanaa and > > > WHen using the Kolmogorov-Smirnov Fitting test in the case where the distributio…n belongs to a given factory butits parameters are unknown, the returned distribution is correct (good estimated parameters), as well as the returned KS statistic. > However, the returned P-value is bad: when running the script, the P-value seems to take random values but always with 1 digit after the comma (example sequence: 0.1 ; 0.4 ;0.2 ;0.2 ;0.3; 0...) > > The example below is relative to the NormalFactory > \[ajust\_cin\_bug\_KS.txt\](https://github.com/openturns/openturns/files/5170831/ajust\_cin\_bug\_KS.txt) This might be interesting to know for Persalys 🙂 Best regards, Michaël