Description Usage Arguments Value
View source: R/outcome_models.R
Use a separate regularized regression for each post period to fit E[Y(0)X]
1 2  fit_prog_reg(X, y, trt, alpha = 1, lambda = NULL, poly_order = 1,
type = "sep", ...)

X 
Matrix of covariates/lagged outcomes 
y 
Matrix of postperiod outcomes 
trt 
Vector of treatment indicator 
alpha 
Mixing between L1 and L2, default: 1 (LASSO) 
lambda 
Regularization hyperparameter, if null then CV 
poly_order 
Order of polynomial to fit, default 1 
type 
How to fit outcome model(s)

y0hat Predicted outcome under control
params Regression parameters
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