KS.stat: KS.stat
In hettx: Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation
View source: R/helper_stat_calc.R
KS.stat R Documentation
KS.stat
Description
Calculate classic (not shifted) KS statistic; code is a modified version of R's ks.test().
Usage
KS.stat(Y, Z, tau, alternative)
Arguments
Y
Observed outcome vector
Z
Treatment assigment vector
tau
Value of treatment effect for shifting Y1. Default is NULL (Y1 not shifted).
alternative
Direction of test ("two.sided", "less", "greater")
Details
If tau passed, Y1 will be shifted by tau.
Value
The value of the test.
See Also
detect_idiosyncratic
Examples
df <- make.randomized.dat( 1000, gamma.vec=c(1,1,1,2), beta.vec=c(-1,-1,1,0) )
KS.stat(df$Yobs, df$Z)
hettx documentation built on Aug. 20, 2023, 1:06 a.m.
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View source: R/helper_stat_calc.R
| KS.stat | R Documentation |
KS.stat
Description
Calculate classic (not shifted) KS statistic; code is a modified version of R's ks.test().
Usage
KS.stat(Y, Z, tau, alternative)
Arguments
Y |
Observed outcome vector |
Z |
Treatment assigment vector |
tau |
Value of treatment effect for shifting Y1. Default is NULL (Y1 not shifted). |
alternative |
Direction of test ("two.sided", "less", "greater") |
Details
If tau passed, Y1 will be shifted by tau.
Value
The value of the test.
See Also
detect_idiosyncratic
Examples
df <- make.randomized.dat( 1000, gamma.vec=c(1,1,1,2), beta.vec=c(-1,-1,1,0) )
KS.stat(df$Yobs, df$Z)
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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