Open martinamorris opened 4 years ago
Does this script still require ARTnet data or some other data to which I don't have access?
Can you use the zipped object we used here: https://github.com/statnet/ergm-private/issues/283#issuecomment-581090071
I'll try, but ideally, benchmark code and data should be self-contained. Actually, if you already have it set up, can I trouble you to run it against the latest ergm
dev
?
i'm deep in debugging stuff now, so not in a position to benchmark.
iirc, this zipfile was the way we decided to share "data" -- it's an empty net with targetstats.
We can't put the ZIP file's contents into this repository?
sure, but then you can do that too.
I meant, is it confidential so we can't?
No -- that's the whole point, remember?
see: https://github.com/statnet/computing/wiki/Useful-tips-for-package-development-and-reprex
Ah, I forgot that the object was an ergm()
call dump. Ill modify the ARTnet example to use that.
That said, that's only one of the three models, and I am not sure which one.
ergm only runs one model at a time. i can dump each of the 3 runs if you like, but why do you need this? it's only in EpiModel that the 3 nets are integrated and simulated together, and even then it's sequential, one at a time.
@martinamorris , dev
should be functional again.
EDITED: the problem had to do with switching packages in the script. See #2
Ok, testing stuff with 1 rep now. With dev
I'm getting this:
'compact.rle' is deprecated.
See help("Deprecated")Too many unique dyads. MPLE is approximate, and MPLE standard errors are suspect.
Error in if (control$MCMLE.Hummel.esteq) esteq else statsmatrix.0[, !model$etamap$offsetmap, :
argument is of length zero
Am installing from GH, so I have the lastest version of dev. Have pushed my scripts to ergm.bench
so you can see the calls.
This takes over the
ergm-private@dev
initial testing from the two tickets on ergm-private: https://github.com/statnet/ergm-private/issues/282 and https://github.com/statnet/ergm-private/issues/283. Note that the first issue is reporting on the full EpiModel workflow from EpiModelHIV.R, while the second focuses onergm
alone, as does this issue.The script for the plot below is in the
ergm.bench
repository. The fits are large (>2GB) so are not pushed to the repo.Summary of 10 reps for each of the 3 networks: