hdCBPS {CBPS} | R Documentation |
hdCBPS high dimensional CBPS method to parses the formula object and passes the result to hdCBPS.fit, which calculates ATE using CBPS method in a high dimensional setting.
hdCBPS(formula, data, na.action, y, ATT = 0, iterations = 1000, method = "linear")
formula |
An object of class formula (or one that can be coerced to that class): a symbolic description of the model to be fitted. |
data |
An optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically the environment from which CBPS is called. |
na.action |
A function which indicates what should happen when the data contain NAs. The default is set by the na.action setting of options, and is na.fail if that is unset. |
y |
An outcome variable. |
ATT |
Option to calculate ATT |
iterations |
An optional parameter for the maximum number of iterations for the optimization. Default is 1000. |
method |
Choose among "linear", "binomial", and "possion". |
ATT |
Average treatment effect on the treated. |
ATE |
Average treatment effect. |
s |
Standard Error. |
fitted.values |
The fitted propensity score |
coefficients1 |
Coefficients for the treated propensity score |
coefficients0 |
Coefficients for the untreated propensity score |
model |
The model frame |
Sida Peng