SKS.stat.cov.rq: SKS.stat.cov.rq
In hettx: Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation
View source: R/helper_stat_calc.R
SKS.stat.cov.rq R Documentation
SKS.stat.cov.rq
Description
Shifted kolmogorov-smirnov statistic with covariates and quantile regression.
Usage
SKS.stat.cov.rq(Y, Z, X)
Arguments
Y
Observed outcome vector
Z
Treatment assigment vector
X
Additional pre-treatment covariates to adjust for in estimation, but not to interact with treatment.
Value
The test statistic value.
Examples
df <- make.randomized.dat( 1000, gamma.vec=c(1,1,1,2), beta.vec=c(-1,-1,1,0) )
SKS.stat.cov.rq(df$Yobs, df$Z, df$A)
hettx documentation built on Aug. 20, 2023, 1:06 a.m.
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View source: R/helper_stat_calc.R
| SKS.stat.cov.rq | R Documentation |
SKS.stat.cov.rq
Description
Shifted kolmogorov-smirnov statistic with covariates and quantile regression.
Usage
SKS.stat.cov.rq(Y, Z, X)
Arguments
Y |
Observed outcome vector |
Z |
Treatment assigment vector |
X |
Additional pre-treatment covariates to adjust for in estimation, but not to interact with treatment. |
Value
The test statistic value.
Examples
df <- make.randomized.dat( 1000, gamma.vec=c(1,1,1,2), beta.vec=c(-1,-1,1,0) )
SKS.stat.cov.rq(df$Yobs, df$Z, df$A)
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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