rdcqr-package: Local Composite Quantile Regression Method for Regression...
In xhuang20/rdcqr: Local Composite Quantile Regression Method for Regression Discontinuity
Description
Author(s)
See Also
Description
This package computes local composite quantile regression estimator
for the treatment effect in both sharp and fuzzy regression discontinuity
designs. It also computes the bias-corrected estimator and adjusts its
standard error by taking into consideration the variability due to bias
correction.
Author(s)
Xiao Huang
Maintainer: Xiao Huang <xiao_huang@outlook.com>
See Also
The package and its update can be found at
https://github.com/xhuang20/rdcqr.
xhuang20/rdcqr documentation built on July 1, 2021, 5:22 a.m.
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Description Author(s) See Also
Description
This package computes local composite quantile regression estimator for the treatment effect in both sharp and fuzzy regression discontinuity designs. It also computes the bias-corrected estimator and adjusts its standard error by taking into consideration the variability due to bias correction.
Author(s)
Xiao Huang
Maintainer: Xiao Huang <xiao_huang@outlook.com>
See Also
The package and its update can be found at https://github.com/xhuang20/rdcqr.
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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