baElicitFitMix: Fit mixed effect model to evaluate batch effect
In olssol/cava: Clinical Trial Design for Cancer Vaccines
baElicitFitMix R Documentation
Fit mixed effect model to evaluate batch effect
Description
Fit mixed effect model to evaluate batch effect
Usage
baElicitFitMix(dat, fml, des_mu = 1, nbs = 1000)
Arguments
dat
existing experiment data
fml
mixed model formula that has batch factor with random effect
des_mu
design vector for obtaining mean. By default, this will be the intercept
nbs
number of bootstraps
Value
A matrix with 3 columns and nbs rows. The columns correspond
to 1) standard deviation of the batch effect, 2) standard deviation of
the random error, and 3) mean
olssol/cava documentation built on Aug. 30, 2023, 2:01 a.m.
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| baElicitFitMix | R Documentation |
Fit mixed effect model to evaluate batch effect
Description
Fit mixed effect model to evaluate batch effect
Usage
baElicitFitMix(dat, fml, des_mu = 1, nbs = 1000)
Arguments
dat |
existing experiment data |
fml |
mixed model formula that has batch factor with random effect |
des_mu |
design vector for obtaining mean. By default, this will be the intercept |
nbs |
number of bootstraps |
Value
A matrix with 3 columns and nbs rows. The columns correspond
to 1) standard deviation of the batch effect, 2) standard deviation of
the random error, and 3) mean
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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