antagonisticExample: Example Antagonistic Surface
In nathanieltwarog/braidrm: Fitting Combined Action with the BRAID Response Surface Model
antagonisticExample R Documentation
Example Antagonistic Surface
Description
A synthetically generated response surface using a antagonistic parameter vector.
The surface was generated with IDMA of 1, IDMB of 1, na of 3, nb of 3,
kappa of -1, E0 of 0, EfA of 1, EfB of 1, and Ef of 1. Every pair of
concentrations is sampled once, with concentrations of 0 and a seven-point
two-fold dilution from 0.125 to 8. "Measurements" were sampled from a
normal noise distribution around ground truth values with a standard
deviation of 0.07.
Usage
antagonisticExample
Format
A data frame with 64 rows and 4 columns
- concA
The concentration of drug A
- concB
The concentration of drug B
- truth
The true response surface value at the given dose pair
- measure
The sampled noisy measurement of the response surface at
the given dose pair
nathanieltwarog/braidrm documentation built on Sept. 30, 2024, 9:23 p.m.
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| antagonisticExample | R Documentation |
Example Antagonistic Surface
Description
A synthetically generated response surface using a antagonistic parameter vector. The surface was generated with IDMA of 1, IDMB of 1, na of 3, nb of 3, kappa of -1, E0 of 0, EfA of 1, EfB of 1, and Ef of 1. Every pair of concentrations is sampled once, with concentrations of 0 and a seven-point two-fold dilution from 0.125 to 8. "Measurements" were sampled from a normal noise distribution around ground truth values with a standard deviation of 0.07.
Usage
antagonisticExample
Format
A data frame with 64 rows and 4 columns
- concA
The concentration of drug A
- concB
The concentration of drug B
- truth
The true response surface value at the given dose pair
- measure
The sampled noisy measurement of the response surface at the given dose pair
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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