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[Internals] Few simplifications #34
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #34 +/- ##
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Coverage ? 91.34%
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Files ? 8
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Hits ? 190
Misses ? 18
Partials ? 0 ☔ View full report in Codecov by Sentry. |
@rimhajal This simplifies the code but also changes the structure of the output of the pohar perme fitting when there are covariates, in particular when there is several covariates. Maybe you could tell me what you think of the output of : f1 = fit(PoharPerme, @formula(Surv(time,status)~sex), colrec, frpop)
f2 = fit(PoharPerme, @formula(Surv(time,status)~(sex+stage)), colrec, frpop) Edit: Wait a bit I'm trying other output formats, I will ping you when i am done |
that way people can tell what dataframe refers to which group, this is good! |
julia> x.age julia> x.keys there are some weird outputs though |
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@rimhajal Now the docs are adapted so this should also be good to go. |
Hey I tried to do a bit of simplifications of the fit() code, I hope its more readable like that.