OVL.LogitDBCL: OVL.LogitDBCL
In OVL.CI: Inference on the Overlap Coefficient: The Binormal Approach and Alternatives
View source: R/OVL.LogitDBCL.R
OVL.LogitDBCL R Documentation
OVL.LogitDBCL
Description
Parametric approach using the delta method after the Box-Cox transformation in the logit scale and back-transformed considering the variability of the estimated transformation parameter
Usage
OVL.LogitDBCL(x, y, alpha = 0.05, h_ini = -0.6)
Arguments
x
controls
y
cases
alpha
confidence level
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.LogitDBCL (controls,cases)
OVL.CI documentation built on Nov. 14, 2023, 1:06 a.m.
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View source: R/OVL.LogitDBCL.R
| OVL.LogitDBCL | R Documentation |
OVL.LogitDBCL
Description
Parametric approach using the delta method after the Box-Cox transformation in the logit scale and back-transformed considering the variability of the estimated transformation parameter
Usage
OVL.LogitDBCL(x, y, alpha = 0.05, h_ini = -0.6)
Arguments
x |
controls |
y |
cases |
alpha |
confidence level |
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.LogitDBCL (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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