raamana confounds issues

raamana / confounds

Conquering confounds and covariates: methods, library and guidance

https://raamana.github.io/confounds

Apache License 2.0

38 stars 14 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Including causal discovery methods such as LiNGAM

#22 sinhaharsh opened 1 year ago
0
new module with a few sklearn wrappers

#21 jrasero opened 2 years ago
6
better validation of inputs to Deconfounders

#20 raamana opened 2 years ago
13
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').

#19 KingArnaiz closed 2 years ago
4
drop-in replacements for cross_val_predict and cross_val_score etc

#18 jrasero opened 2 years ago
14
Error fitting Residualize

#17 joebathelt closed 2 years ago
5
Merging Combat

#15 raamana closed 3 years ago
0
Correct bug in combat_param1 that was not letting pass the tests.

#14 jrasero closed 3 years ago
0
partial correlation and simple sns pair plot

#13 jameschapman19 closed 2 years ago
14
Implementation of original (parametric) Combat harmonization

#12 jrasero closed 3 years ago
8
MRG: implement ResidualizeTarget

#11 zuxfoucault opened 4 years ago
2
Performance score stratified by confound

#10 raamana opened 4 years ago
6
Adding more documentation

#9 mnarayan opened 4 years ago
0
Add generator for simualted or real confounded datasets

#8 dinga92 opened 4 years ago
2
add things to readme

#7 dinga92 closed 4 years ago
0
Methods and metrics to quantify the level of confounding in a given a sample

#6 raamana opened 4 years ago
0
Add tests for DummyDeconfounding() method

#5 raamana opened 4 years ago
0
Add tests for Residualize() with non-linear models

#4 raamana opened 4 years ago
0
Add tutorial notebooks, with few example use-cases

#3 raamana opened 4 years ago
0
Implement metrics to quantify confound to target relationships

#2 raamana opened 4 years ago
1
Implement Propensity Score estimation

#1 raamana opened 4 years ago
0