ed50simulation (version 0.1.1)

bootIsotonicRegression: Isotonic Regression Function

Description

Function of isotonic regression.

Usage

bootIsotonicRegression(data, PROBABILITY.GAMMA = 0.5, baselinePava)

Arguments

data

the same dataframe called by the boot function.

PROBABILITY.GAMMA

the target effect probability in the BCD experiment; default = 0.5 and need not be specified.

baselinePava

the dataframe prepared by the function preparePava.

Examples

# NOT RUN {
library(ed50simulation)
pavaData <- preparePava(groupS)
bootIsotonicRegression(data = groupS, PROBABILITY.GAMMA = 0.5, baselinePava = pavaData)
# }