simBase: Simulate baseline data used in construction of robust linear...
In harrysouthworth/margarita: Support functions for texmex
Description
Usage
Arguments
Details
Description
Simulate baseline data by resampling, inferring the number of samples from the input.
Usage
1
simBase(lmod, gmod, baseline = "log(alt.b)")
Arguments
lmod
An object of class 'rlm' created by lmr.
gmod
An object of class 'evmSim'.
baseline
Character string identifying the baseline column of the
design matrix used to fit the robust linear model.
Details
The function decides how many baselines to simulate based on the
number of simulated values in the param component of gmod.
harrysouthworth/margarita documentation built on Aug. 19, 2021, 5 a.m.
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Description Usage Arguments Details
Description
Simulate baseline data by resampling, inferring the number of samples from the input.
Usage
1 | simBase(lmod, gmod, baseline = "log(alt.b)")
|
Arguments
lmod |
An object of class 'rlm' created by |
gmod |
An object of class 'evmSim'. |
baseline |
Character string identifying the baseline column of the design matrix used to fit the robust linear model. |
Details
The function decides how many baselines to simulate based on the
number of simulated values in the param component of gmod.
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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