dot-ConfounderAdjustedResiduals: Replaces the outcome variable with residuals from a linear...
In pjnewcombe/R2BGLiMS: R interface to the java package BGLiMS (Bayesian Generalised Linear Model Selection).
Description
Usage
Arguments
Value
Author(s)
Description
Replaces the outcome variable with residuals from a linear regression on the confounders. I.e. removes effect
of confounders for the conjugate models.
Usage
1
.ConfounderAdjustedResiduals(data, outcome.var, confounders)
Arguments
data
matrix or data.frame containing outcome and confounders
outcome.var
name of outcome.variable
confounders
list of confounders
Value
data original dataset with the confounders removed and the outcome replaces with adjusted residuals
Author(s)
Paul Newcombe
pjnewcombe/R2BGLiMS documentation built on Feb. 10, 2020, 8:52 p.m.
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Description Usage Arguments Value Author(s)
Description
Replaces the outcome variable with residuals from a linear regression on the confounders. I.e. removes effect of confounders for the conjugate models.
Usage
1 | .ConfounderAdjustedResiduals(data, outcome.var, confounders)
|
Arguments
data |
matrix or data.frame containing outcome and confounders |
outcome.var |
name of outcome.variable |
confounders |
list of confounders |
Value
data original dataset with the confounders removed and the outcome replaces with adjusted residuals
Author(s)
Paul Newcombe
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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