TODO list

[jialul]

Causal ML updates

General issues

• [ ] check package environment with Windows
• [x] write up the documentations
• [x] add examples (micro-finance/star)
• [x] #28
• [x] #38

Specific issues

Documentation

• [x] finish documentations for test_itr
• [x] Roxygenize all the function and data
• [x] Simplify the examples

Functions

• [x] check whether return outputs are consistent across all functions
• [x] check the SVM function
• [x] #8
• [x] #9
• [x] #17
• [x] #20
• [x] #26
• [x] https://github.com/MichaelLLi/evalITR/issues/24
• [x] #36

Testing

• [x] #15
• [x] #14
• [x] Run CRAN checks with rhub

Output

• [x] create a summary(fit) page where we display some summary statistics (perhaps some PAPEs, fitting metrics and etc)
• [x] add summary of the plot_aupec output
• [x] #10
• [x] #11
• [x] #18
• [x] #27
• [x] #30
• [x] If only one alg is selected, do not print PAPDp summary statistics.

Plotting

• [x] check the variance for AUPEC

Other tasks

• [ ] #12
• [x] #13
• [ ] Check the tuning parameters for caret and SuperLearner

[kosukeimai]

What about adding some tests via testthat?

[jialul]

@kosukeimai will do!

[jialul]

May need to increase computation efficiency: http://adv-r.had.co.nz/Profiling.html

[xiaolong-y]

Could be useful applications for our paper or demo on the package website: https://github.com/gsbDBI/ExperimentData

[xiaolong-y]

May need to increase computation efficiency: http://adv-r.had.co.nz/Profiling.html

Definitely good idea! Perhaps we can look into this once we finished writing all the functions planned for the current stage?

[xiaolong-y]

@jialul summary now shows statistics for GATEcv as well! Some new columns are upper and lower bound of confidence interval and group indicator for each estimate.