generateDataMatrix: generateDataMatrix
In SharonLutz/reverseCT: This package contains methods to run mediation analysis and MR with reverse causality
Description
Arguments
Value
Author(s)
Description
generate all the data vectors and rng seeds needed to do mediation with parallel processing
Arguments
theObject
an instance of MediateDataGenerationParameters
initial_SEED
the SEED that will be used with set.seed before generating the data, the generated MediateModelVariables will be provided incremented SEED values starting with initial_SEED + 1
Value
matrix with dimensions of rows = length(theObject@betaM) and columns = theObject@nSim containing the generated data
Author(s)
Michael Gooch
SharonLutz/reverseCT documentation built on Oct. 30, 2019, 11:54 p.m.
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Description Arguments Value Author(s)
Description
generate all the data vectors and rng seeds needed to do mediation with parallel processing
Arguments
theObject |
an instance of MediateDataGenerationParameters |
initial_SEED |
the SEED that will be used with set.seed before generating the data, the generated MediateModelVariables will be provided incremented SEED values starting with initial_SEED + 1 |
Value
matrix with dimensions of rows = length(theObject@betaM) and columns = theObject@nSim containing the generated data
Author(s)
Michael Gooch
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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