Closed hannesbecher closed 9 months ago
Hello Hannes,
I am glad you were able to figure out the install. I also have more luck installing packages separately. Like I said in my previous reply, I am in the middle of updating shadie and I would strongly suggest you don't use it for anything serious until I am done. I believe the current version of shadie you have installed uses SLiM3, but the new models have been optimized for SLiM4 and will run much more efficiently (and have also been checked for accuracy more recently than the SLiM3 models). I admit that no one but me has been using shadie, so I haven't been actively maintaining a working version on GitHub.
I am aware of the issue with the toytree dependency. That package is undergoing a major upgrade and I have been waiting for the release to update the shadie dependencies in order to avoid asking users to install a dev version of toytree. If you really want to try shadie out you can try installing the toy3-dev3 branch of toytree, but I can't guarantee that will fix the problem.
Again, if you wait about a week or so shadie should be all updated, with updated tutorials and I can help you trouble-shoot any problems from there.
All the best, ~Elissa
Thanks for clarifying (again)! Fee free to close this then. Cheers, Hannes
Hi Hannes, I just updated shadie for SLiM 4.1. You will also need the toy3 branch of toytree - there are updated instructions in the readme. I didn't get the chance to do extensive testing, but if you're not trying to do anything crazy it should work for you. I updated the first few tutorials, but I will need to go through and update the rest and also publish some of the ones that are kicking around in draft limbo. Let me know if you have any questions!
All the best, ~Elissa
Hi,
I've managed to set up shadie (I think) as I have described in issue #16
Unfortunately, I fail to run the first step of the tutorial.
I wonder if this may be a version problem with the dependency toytree? If so, you may want to specify versions for your dependency packages, so anaconda knows which ones to download.
This gives me: