bootIsotonicResample: The resample function of isotonic regression
In ed50simulation: Estimate ED50 and Its Confidence Interval
Description
Usage
Arguments
Examples
Description
The function is designed as an argument for the boot function of the Canty Bootstrap package.
Usage
1
Arguments
data
Original experiment data.
mle
A list of additional arguments to be used by bootIsotonicResample.
Examples
1
2
3
4
5
6
library(ed50simulation)
pavaData <- preparePava(groupS)
bootIsotonicResample(data = groupS,
mle = list(baselinePava = pavaData,
firstDose = 2.5,
PROBABILITY.GAMMA = 0.5))
ed50simulation documentation built on Oct. 30, 2019, 9:57 a.m.
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Description Usage Arguments Examples
Description
The function is designed as an argument for the boot function of the Canty Bootstrap package.
Usage
1 |
Arguments
data |
Original experiment data. |
mle |
A list of additional arguments to be used by bootIsotonicResample. |
Examples
1 2 3 4 5 6 | library(ed50simulation)
pavaData <- preparePava(groupS)
bootIsotonicResample(data = groupS,
mle = list(baselinePava = pavaData,
firstDose = 2.5,
PROBABILITY.GAMMA = 0.5))
|
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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