10000 Commits · alexluedtke12/sg · GitHub

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Commits

Commits on May 18, 2023

v0.51 exporting predict.sg.SL function

Alex Luedtke
authored and
Alex Luedtke
committed

Commits on May 17, 2023

v0.51 exporting predict.sg.SL function

Alex Luedtke
authored and
Alex Luedtke
committed
Merge branch 'master' of https://github.com/alexluedtke12/sg

Alex Luedtke
authored and
Alex Luedtke
committed
v0.51 exporting predict.sg.SL function

Alex Luedtke
authored and
Alex Luedtke
committed

Commits on Mar 22, 2023

Update README.md
alexluedtke12
authored

Commits on Sep 26, 2022

v0.50: bug fix. In previous version, sg.cvtmle did not properly handle the case where the outcome is missing for some individuals (Delta==0).

Alex Luedtke
authored and
Alex Luedtke
committed

Commits on Sep 22, 2022

v0.49: updated sg.cvtmle so that the outcome Y can take the value NA for observations for which the non-missingness indicator Delta is equal to 0
Alex Luedtke
committed

Commits on Jul 22, 2022

v0.48: Added option to specify baseline.probs=NULL in sg.cvtmle to obtain estimate of mean outcome under the optimal treatment (not contrasted against anything), and also added a print statement to…

Alex Luedtke
authored and
Alex Luedtke
committed
v0.48: Added option to specify baseline.probs=NULL in sg.cvtmle to obtain estimate of mean outcome under the optimal treatment (not contrasted against anything), and also added a print statement to…

Alex Luedtke
authored and
Alex Luedtke
committed
v0.48: Added option to specify baseline.probs=NULL in sg.cvtmle to obtain estimate of mean outcome under the optimal treatment (not contrasted against anything), and also added a print statement to…

Alex Luedtke
authored and
Alex Luedtke
committed
v0.48: Added option to specify baseline.probs=NULL in sg.cvtmle to obtain estimate of mean outcome under the optimal treatment (not contrasted against anything), and also added a print statement to…

Alex Luedtke
authored and
Alex Luedtke
committed

Commits on May 15, 2022

v0.47: updated sg.SL so that it can be used with the SL.dbarts learner from the SuperLearner library. This update was necessary because SL.dbarts does not have a built-in predict function. If the S…
Alex Luedtke
committed

Commits on Nov 7, 2021

Commits on Sep 15, 2021

v0.45: added options to input initial outcome regression fits (sg.SL and sg.cvtmle) and to specify the folds used in outer cross-validation (sg.cvtmle only)
alexluedtke12
committed

Commits on Mar 1, 2021

Commits on Nov 25, 2020

v0.43: Updated handling of SL.library input so that the lib.ests option works with lists of vectors of length >2
alexluedtke12
committed

Commits on Aug 29, 2020

v0.42. bug fix: corrected standard error for case when tau<0.
alexluedtke12
committed

Commits on Feb 28, 2020

v0.41. Modified handling of observation weights when running sg.cvtmle to obtain effect estimates, and updated documentation.
alexluedtke12
committed

Commits on Feb 24, 2020

Version 0.4. sg.cvtmle and sg.SL can now optimize over more than two treatments. Added option to make the SuperLearner libraries used for estimation of the outcome regression and/or propensity scor…
alexluedtke12
committed

Commits on Nov 20, 2019

Commits on Nov 16, 2019

big fix: updated sgcvtmle so that it won't crash when W only has one column
alexluedtke12
committed

Commits on Oct 24, 2018

Commits on Sep 4, 2018

minor update to appropriately handle sum of treatment mechanism estimates being greater than 1
alexluedtke12
committed

Commits on Sep 3, 2018

Commits on Jul 23, 2018

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