Issues
- 1
What does Y.hat do in a causal forest
#174 opened by aczura2024 - 5
Recommended heuristic for integrating "policy tree" with "honest causal forest"
#124 opened by njawadekar - 4
Ensure policy tree leaf nodes have minimum sample size per treatment group (balance)
#161 opened by gabriel-ruiz - 1
Consider replacing `testthat` with `tinytest`
#61 opened by erikcs - 1
- 32
Suggestion: keep track of utility of assigning all units each treatment outside of "level_one_learning"
#146 opened by beniaminogreen - 4
- 3
Policy tree - double robust scores and rewards
#149 opened by njawadekar - 2
- 1
- 1
- 1
DR scores outside of 0-1 for binary outcomes
#138 opened by jkortner - 0
Add `double_robust_scores` invariance test
#117 opened by erikcs - 19
Add a greedy/hybrid tree search option
#94 opened by erikcs - 2
Policy tree deeper than 3
#85 opened by ZhiyLiu - 2
- 4
- 0
Improve the documentation around runtime
#95 opened by erikcs - 2
Constrained optimal policy
#93 opened by hhsievertsen - 2
Measure of optimal policy "stability"
#87 opened by hhsievertsen - 0
Add `repopulate_leaves` functionality
#81 opened by erikcs - 7
Dummy variables ignored for split.step > 1
#55 opened by MCKnaus - 2
Question: would double_robust_scores() and grf::instrumental_forest() work if one has continuous or multiple instruments
#75 opened by if-sudo - 1
Replace regression_forest with probability_forest
#48 opened by erikcs - 1
Compute double robust scores through grf
#49 opened by erikcs - 1
Stop policy_tree in R
#58 opened by MCKnaus - 1
Final leaf labels
#57 opened by MCKnaus - 1
Exporting graphs
#56 opened by MCKnaus - 2
policy_tree() can't scale to my data size but multi_causal_forest() can scale, can I just use argmax of multi-action treatment effect estimation as a good policy ?
#46 opened by JunhaoWang - 0
[JOSS] Community Guidelines
#31 opened by nhejazi - 0
[JOSS] Statement of Need
#30 opened by nhejazi - 0
- 0
Streamline future CRAN submissions
#17 opened by erikcs - 6
Fix test case for approximate tree search
#12 opened by kanodiaayush - 0
Correct Pruning for k >= 2
#8 opened by kanodiaayush - 0
policy_tree crashes when depth=0
#3 opened by halflearned