Ecosyste.ms: Issues
An open API service for providing issue and pull request metadata for open source projects.
GitHub / joshuaschwab/ltmle issues and pull requests
#24 - ltmle for eco-epidemiology
Issue -
State: open - Opened by juandavidgutier 6 months ago
#23 - Mapping cum.g to original dataset
Issue -
State: open - Opened by gah-bo over 1 year ago
- 1 comment
#22 - deleted issue
Issue -
State: closed - Opened by dbackenroth over 1 year ago
#21 - How to include multiple treatments?
Issue -
State: closed - Opened by jvpoulos almost 4 years ago
- 1 comment
#20 - Issues with binary outcomes using SuperLearner
Issue -
State: open - Opened by philipclare over 6 years ago
- 8 comments
#19 - A question about deterministic function arguments
Issue -
State: open - Opened by terrysun0302 over 6 years ago
#18 - remove intercept column if super learning
Pull Request -
State: open - Opened by benkeser over 6 years ago
- 2 comments
#17 - add check for tibbles and convert to data.frame
Pull Request -
State: closed - Opened by malcolmbarrett almost 7 years ago
- 1 comment
#16 - Support for tibbles in data argument
Issue -
State: closed - Opened by malcolmbarrett almost 7 years ago
- 3 comments
#15 - Lasso with SL.glmnet
Issue -
State: open - Opened by PFMB about 7 years ago
- 1 comment
#14 - IC.variance.only should default to TRUE for non-binary outcomes.
Issue -
State: closed - Opened by lendle about 9 years ago
#13 - Examples and tests fail when suggested packages are not installed
Issue -
State: open - Opened by hadley almost 10 years ago
#12 - Include URL and BugReports fields in DESCRIPTION
Issue -
State: open - Opened by hadley almost 10 years ago
#11 - Regimes as a list of functions sometimes causes error
Issue -
State: open - Opened by lendle over 10 years ago
#10 - cum.g weight truncation scheme and untruncated weight diagnostics
Issue -
State: open - Opened by osofr over 10 years ago
- 1 comment
#9 - Very long running time for survival on a static regime
Issue -
State: open - Opened by osofr almost 11 years ago
- 3 comments
#8 - Update ltmle.R
Pull Request -
State: closed - Opened by danbrown5 almost 11 years ago
#7 - Adding boundedlogistic(), Qbounds option to ltmle (for rare outcomes), and tests
Pull Request -
State: closed - Opened by lendle about 11 years ago
- 3 comments
#6 - Change to ltmleMSM example, sampleDataForLtmleMSM and "regimen" > "regime".
Pull Request -
State: closed - Opened by lendle over 11 years ago
#5 - Change variable names in MSM example dataset to be consistent with naming convention in papers.
Pull Request -
State: closed - Opened by lendle over 11 years ago
- 1 comment
#4 - Require survivalOutcome to be specified if outcome is binary.
Pull Request -
State: closed - Opened by lendle over 11 years ago
#3 - Added automatic outcome scaling
Pull Request -
State: closed - Opened by lendle over 11 years ago
#2 - Adding 'survivalOutcome', allow non-survival outcomes to be in [0, 1] instead of [0, 1) and some other stuff
Pull Request -
State: closed - Opened by lendle over 11 years ago
- 1 comment
#1 - Allow regimens to be specified using a 'rule' function that is applied to each row of 'data' instead of a binary array.
Pull Request -
State: closed - Opened by lendle over 11 years ago