fit_ipw_formatted: Fit IPW weights with a logit propensity score model
In ebenmichael/ents: Maximum Entropy Synthetic Controls
Description
Usage
Arguments
Value
Description
Fit IPW weights with a logit propensity score model
Usage
1
fit_ipw_formatted(data_out, alpha_w = NULL, net_param = 1)
Arguments
data_out
formatted data from format_ipw
alpha_w
regularization parameter for weights
net_param
elastic net parameter, 1: lasso, 0: ridge, default: 1
Value
inverse of predicted propensity scores
outcome regression parameters
control outcomes
treated outcomes
boolean for treated
ebenmichael/ents documentation built on May 31, 2019, 8:45 p.m.
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Description Usage Arguments Value
Description
Fit IPW weights with a logit propensity score model
Usage
1 | fit_ipw_formatted(data_out, alpha_w = NULL, net_param = 1)
|
Arguments
data_out |
formatted data from format_ipw |
alpha_w |
regularization parameter for weights |
net_param |
elastic net parameter, 1: lasso, 0: ridge, default: 1 |
Value
inverse of predicted propensity scores outcome regression parameters control outcomes treated outcomes boolean for treated
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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