par_cor: Partial Correlation
In optinterv: Optimal Intervention
Description
Usage
Arguments
Value
Description
Calculates correlation / covariance between Y and X, holding control constant
Usage
1
Arguments
Y
outcome vector (must be numeric without NA's).
X
numeric data frame or matrix of factors to be considered.
control
numeric data frame or matrix of factors to control for. these are factors
that we can't consider while looking for the optimal intervention
(e.g. race).
wgt
an optional vector of weights.
Value
data frame with partial correlations, partial covariance & p-values.
optinterv documentation built on March 26, 2020, 7:05 p.m.
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Description Usage Arguments Value
Description
Calculates correlation / covariance between Y and X, holding control constant
Usage
1 |
Arguments
Y |
outcome vector (must be numeric without NA's). |
X |
numeric data frame or matrix of factors to be considered. |
control |
numeric data frame or matrix of factors to control for. these are factors that we can't consider while looking for the optimal intervention (e.g. race). |
wgt |
an optional vector of weights. |
Value
data frame with partial correlations, partial covariance & p-values.
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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