OVL.BCPB: OVL.BCPB
In OVL.CI: Inference on the Overlap Coefficient: The Binormal Approach and Alternatives
OVL.BCPB R Documentation
OVL.BCPB
Description
Parametric approach using a bootstrap percentil approach to estimate the variance
Usage
OVL.BCPB(x, y, alpha = 0.05, B = 100, h_ini = -0.6)
Arguments
x
controls
y
cases
alpha
confidence level
B
bootstrap size
h_ini
initial value in the optimization problem
Value
confidence interval
Examples
controls = rnorm(50,6,1)
cases = rnorm(100,6.5,0.5)
OVL.BCPB (controls,cases)
OVL.CI documentation built on Nov. 14, 2023, 1:06 a.m.
R Package Documentation
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| OVL.BCPB | R Documentation |
OVL.BCPB
Description
Parametric approach using a bootstrap percentil approach to estimate the variance
Usage
OVL.BCPB(x, y, alpha = 0.05, B = 100, h_ini = -0.6)
Arguments
x |
controls |
y |
cases |
alpha |
confidence level |
B |
bootstrap size |
h_ini |
initial value in the optimization problem |
Value
confidence interval
Examples
controls = rnorm(50,6,1)
cases = rnorm(100,6.5,0.5)
OVL.BCPB (controls,cases)
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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