bootIsotonicRegression: Isotonic Regression Function

In ed50simulation: Estimate ED50 and Its Confidence Interval

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

library(ed50simulation)
pavaData <- preparePava(groupS)
bootIsotonicRegression(data = groupS, PROBABILITY.GAMMA = 0.5, baselinePava = pavaData)

ed50simulation documentation built on Oct. 30, 2019, 9:57 a.m.