causalCI: Confidence interval for direct causal effects
In andreamrau/GBNcausal: Causal estimation for Gaussian Bayesian networks
Usage
1
causalCI(alphaRes, CIlb = 0.05, CIub = 0.95)
Arguments
alphaRes
matrix - contains a matrix of direct causal effects per line.
CIlb
double in [0,1] - lower bound of the interval.
CIub
double in [0,1] - upper bound of the interval.
Value
It returns a matrix of the values that are in the confidence interval. Those found out of it are equals to 0 in the matrix.
andreamrau/GBNcausal documentation built on May 12, 2019, 3:34 a.m.
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Usage
1 | causalCI(alphaRes, CIlb = 0.05, CIub = 0.95)
|
Arguments
alphaRes |
matrix - contains a matrix of direct causal effects per line. |
CIlb |
double in [0,1] - lower bound of the interval. |
CIub |
double in [0,1] - upper bound of the interval. |
Value
It returns a matrix of the values that are in the confidence interval. Those found out of it are equals to 0 in the matrix.
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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