fit_prog_complete: Use nuclear norm matrix completion to fit outcome model
In ebenmichael/ents: Maximum Entropy Synthetic Controls
Description
Usage
Arguments
Value
Description
Use nuclear norm matrix completion to fit outcome model
Usage
1
fit_prog_complete(X, y, trt, rank.max = 5, lambda = 0, type = "svd")
Arguments
X
Matrix of covariates/lagged outcomes
y
Matrix of post-period outcomes
trt
Vector of treatment indicator
rank.max
Max rank of the solution
type
"svd" is soft-thresholded SVD and "als" is alternating ridge
lambdaNuclear
norm regularization parameter
Value
y0hat Predicted outcome under control
params Regression parameters
ebenmichael/ents documentation built on May 31, 2019, 8:45 p.m.
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Description Usage Arguments Value
Description
Use nuclear norm matrix completion to fit outcome model
Usage
1 | fit_prog_complete(X, y, trt, rank.max = 5, lambda = 0, type = "svd")
|
Arguments
X |
Matrix of covariates/lagged outcomes |
y |
Matrix of post-period outcomes |
trt |
Vector of treatment indicator |
rank.max |
Max rank of the solution |
type |
"svd" is soft-thresholded SVD and "als" is alternating ridge |
lambdaNuclear |
norm regularization parameter |
Value
y0hat Predicted outcome under control
params Regression parameters
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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