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MichaelLLi
/
evalITR
R Package for Evaluating Individualized Treatment Rules
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#44
jialul
opened
7 months ago
0
The test_itr function
#43
xiaolong-y
opened
8 months ago
0
Merge for the most updated package version
#42
xiaolong-y
closed
11 months ago
0
Requests to consider
#41
Rikkkkkin
opened
1 year ago
5
Minor error in PAVcv and PAPEcv
#40
Rikkkkkin
closed
1 year ago
3
feat: merge causal-ml-gates with master
#39
xiaolong-y
closed
11 months ago
0
Estimate ITR with observational data and evaluate with RCT
#38
xiaolong-y
closed
11 months ago
1
feat: `test_itr` & website & `summary()` for `test_itr` outputs
#37
xiaolong-y
closed
1 year ago
2
add het.test and hetcv.test to the package
#36
jialul
closed
1 year ago
1
feat: test_itr (single outome & model)
#35
xiaolong-y
closed
1 year ago
0
change: rename functions
#34
xiaolong-y
closed
1 year ago
0
change: plim to budget
#33
xiaolong-y
closed
1 year ago
0
Merge to debug
#32
xiaolong-y
closed
1 year ago
0
Compare change (old ml-gate | new ml)
#31
xiaolong-y
closed
1 year ago
0
Check the sample splitting plot
#30
jialul
closed
1 year ago
3
Causal ml gates
#29
jialul
closed
1 year ago
0
flow chart for the package
#28
jialul
closed
1 year ago
2
allow users to estimate the ITRs with their own models
#27
xiaolong-y
closed
11 months ago
4
separate training/testing with compute qoi
#26
xiaolong-y
closed
1 year ago
1
Finalize GATE incorporation and sample splitting infrastructure
#25
xiaolong-y
closed
1 year ago
0
Incorporate different types of meta-learners
#24
jialul
closed
1 year ago
2
docs & style: clean up code and update documentation
#23
xiaolong-y
closed
1 year ago
0
Check recommended default values for tuning parameters
#22
jialul
closed
1 year ago
9
Feat: train under sample splitting (WIP)
#21
xiaolong-y
closed
1 year ago
4
add infrastructure for training under sample splitting
#20
xiaolong-y
closed
1 year ago
1
feat: GATE estimation
#19
xiaolong-y
closed
1 year ago
0
skip `PAPDp` in the summary output if the user only chooses one algorithm
#18
jialul
closed
1 year ago
1
add functions for the statistical tests
#17
xiaolong-y
closed
1 year ago
0
allow users to extract values used in the plot for customization
#16
jialul
closed
1 year ago
0
use Michael's clinical trials data to test functions for binary outcomes
#15
jialul
closed
1 year ago
1
add testhat tests
#14
jialul
closed
10 months ago
1
create website for the package
#13
jialul
closed
11 months ago
3
incorporate Python functions and call them into R
#12
jialul
opened
1 year ago
0
allow the function to export p-values
#11
jialul
closed
1 year ago
1
allow `summary()` function to show all the output (PAPE, PAPEp, PAPD, AUPEC)
#10
jialul
closed
1 year ago
1
add GATE to the qoi
#9
jialul
closed
1 year ago
1
write the functions for binary outcomes
#8
jialul
closed
1 year ago
6
check the SVM function
#7
jialul
closed
1 year ago
0
Update: current version of the package
#6
jialul
closed
10 months ago
9
Documentation: create evalITR website via pkgdown
#5
xiaolong-y
closed
1 year ago
7
allow users to extract values used in the plot for customization
#4
jialul
closed
2 years ago
0
TODO list
#3
jialul
opened
2 years ago
6
causal-ml to-do list
#2
jialul
closed
2 years ago
0
dtr demo up
#1
jiongyi-cao
opened
3 years ago
0