OLS_pred_w: This function calculates the OLS weights for the fitted...
In MCKnaus/dmlmt: Double Machine Learning for Multiple Treatments
Description
Usage
Arguments
Value
Description
This function calculates the OLS weights for the fitted values of
each observation
Usage
1
OLS_pred_w(x, t, y, cs_i = NULL)
Arguments
x
Matrix of covariates (N x p matrix)
t
Vector of binary treament indicator
y
Vector of outcomes
cs_i
If not NULL, boolean vector to indicate that observation is on support
Value
Vector of weights
MCKnaus/dmlmt documentation built on Dec. 4, 2020, 9:48 a.m.
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.
Description Usage Arguments Value
Description
This function calculates the OLS weights for the fitted values of each observation
Usage
1 | OLS_pred_w(x, t, y, cs_i = NULL)
|
Arguments
x |
Matrix of covariates (N x p matrix) |
t |
Vector of binary treament indicator |
y |
Vector of outcomes |
cs_i |
If not NULL, boolean vector to indicate that observation is on support |
Value
Vector of weights
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.