fit_prog_rf: Use a separate random forest regression for each post period...
In ebenmichael/ents: Maximum Entropy Synthetic Controls
Description
Usage
Arguments
Value
Description
Use a separate random forest regression for each post period
to fit E[Y(0)|X]
Usage
1
fit_prog_rf(X, y, trt, avg = FALSE)
Arguments
X
Matrix of covariates/lagged outcomes
y
Matrix of post-period outcomes
trt
Vector of treatment indicator
opts
List of options for randomForest
avg Fit the average post-period rather than time periods separately
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 a separate random forest regression for each post period to fit E[Y(0)|X]
Usage
1 | fit_prog_rf(X, y, trt, avg = FALSE)
|
Arguments
X |
Matrix of covariates/lagged outcomes |
y |
Matrix of post-period outcomes |
trt |
Vector of treatment indicator |
opts |
List of options for randomForest
|
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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