How do run an estimation packages so it's also seen in Atlas?

I hear you. :smiley: Though the EvidenceExplorer piece in R Shiny is nifty… if you manage to install all the dependencies to get this package functional.

I agree with Patrick’s recommendation here… but I can’t help but add some wisdom from my “network studies” hat.

Let’s assume you’re getting a study package from public ATLAS and it was designed by someone else. You really need to do some upfront cohort characterization to understand the appropriateness of this study on your data. You’ll have to import the JSON via the utilities tab in your environment and save it in your Atlas. An assumption of the Estimation package is that you’ve validated your data set can support the cohorts you’re being asked to run. It won’t tell you if you’re about to load undersized cohorts into your model… so if you’re lazy (like me) and think, “I’ll run it and see what comes out…” you may actually have it run for a really long time before you get a mysterious error about data frame size (See: CohortMethod: Error in data frame size when Creating cohortMethodData objects).

You should really do some characterization before you hop right into running the package. Using Atlas, I’d suggest loading the file into the Estimation tab and then using the Cohort Definition tab to make sure you have adequate samples.

I’m curious, @cukarthik, what kinds of visualizations are you looking for?