Raphael Sonabend-Friend

Thanks @flippercy. I definitely like the idea of a model optimising calibration and discrimination simultaneously but would like to see if their results are reproducible with true survival predictions (distributions...

Hi @chiragnagpal ! Thanks for posting here this certainly makes the job of integrating into R much easier. I'll try and take a look at this properly this week or...

Hey so that's an open question into what the integration effectively looks like. My current thinking is maybe a bridge package like SurvivalBayesian.jl which depends on both SurvivalAnalysis.jl and Turing.jl...

Agreed - I'll give some more background tomorrow and then summarise our chat here

Thanks also adding [this](https://discourse.julialang.org/t/question-about-bayesian-survival-analysis-with-cox-proportional-hazards-regression-method-in-julia-with-turing/80672/3) discussion from discourse

Great will look forward to the PR then

> How to plot the loss function plot? It's necessary for publication. I don't know what plot you're talking about sorry > It has any way to interpret models, such...

Ah okay, currently that might not be possible unless you're happy to interact with the Python code via reticulate? I'd be happy to convert these issue to a feature request...

Hey have you tried using the save and load functions in reticulate? https://rstudio.github.io/reticulate/reference/py_save_object.html

Thanks @diego-s I really appreciate the contribution. But a couple small points: 1. It doesn't make sense to me to have a parameter called `frac` that is passing indices. It...