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thomaswiemann
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ddml
ddml: Double/Debiased Machine Learning in R
https://thomaswiemann.com/ddml/
GNU General Public License v3.0
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adds ddml_iv support for three reduced forms
#22
thomaswiemann
closed
2 years ago
0
memory efficient liml CSE estimation
#21
thomaswiemann
closed
2 years ago
0
adds liml support
#20
thomaswiemann
closed
2 years ago
0
Include variable standardization options
#19
thomaswiemann
opened
2 years ago
0
merges main with dev
#18
thomaswiemann
closed
2 years ago
0
Allow for different model specifications in first stage and residualization
#17
thomaswiemann
closed
3 years ago
0
Add more informative progress bar
#16
thomaswiemann
closed
1 year ago
0
sparseMatrix objects as user-supplied data
#15
thomaswiemann
closed
3 years ago
0
User-supplied wrapper functions are not exported to clusters
#14
thomaswiemann
closed
1 year ago
1
Allow for user-supplied ensemble weights
#13
thomaswiemann
closed
5 months ago
1
`predict.rlasso` does not work when controls are partialled out
#12
thomaswiemann
closed
1 year ago
1
Block-structured cross-validation
#11
thomaswiemann
closed
2 months ago
1
Inefficient parallel computing
#10
thomaswiemann
closed
1 year ago
1
Should models be omitted from ensemble if IV selection fails in `crossval`?
#9
thomaswiemann
closed
1 year ago
1
Checks on user-supplied arguments
#8
thomaswiemann
opened
3 years ago
0
Reformulate the stacking optimization problem
#7
thomaswiemann
closed
3 years ago
2
Memory inefficient model computation
#6
thomaswiemann
closed
1 year ago
0
Additional output for `ddml_iv`
#5
thomaswiemann
closed
1 year ago
1
Memory inefficient storage of fitted model objects
#4
thomaswiemann
closed
1 year ago
0
Occasional convergence issues with lsml objects
#3
thomaswiemann
closed
2 years ago
1
Issues with computation of ensemble weights with instruments
#2
thomaswiemann
closed
3 years ago
0
Simultaneous computation of multiple ensemble types
#1
thomaswiemann
closed
3 years ago
0
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