sharp_neyman: SHARP RDD: RANDOMIZATION-BASED INFERENCE - NEYMAN APPROACH
In itamuria/LRErdd: Regression Discontinuity Designs as Local Randomized Experiments
Description
Usage
Arguments
Value
View source: R/RegDis_function.r
Description
SHARP RDD: RANDOMIZATION-BASED INFERENCE - NEYMAN APPROACH
Usage
1
sharp_neyman(Y, Z, cin)
Arguments
Y
Outcome variable
Z
forcing binary variable
cin
Confidence interval
Value
a vector with values
itamuria/LRErdd documentation built on May 6, 2019, 8:03 p.m.
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Description Usage Arguments Value
View source: R/RegDis_function.r
Description
SHARP RDD: RANDOMIZATION-BASED INFERENCE - NEYMAN APPROACH
Usage
1 | sharp_neyman(Y, Z, cin)
|
Arguments
Y |
Outcome variable |
Z |
forcing binary variable |
cin |
Confidence interval |
Value
a vector with values
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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