trueEffects: Compute the true casual effects of a simulated dag
In kpj/dce: Pathway Enrichment Based on Differential Causal Effects
trueEffects R Documentation
Compute the true casual effects of a simulated dag
Description
This function takes a DAG with edgeweights as input and computes
the causal effects of all nodes on all direct and indirect children in the
DAG. Alternatively see pcalg::causalEffect for pairwise computation.
Usage
trueEffects(g, partial = FALSE)
Arguments
g
graphNEL object
partial
if FALSE computes the total causal effects and not just
the partial edge effects
Value
matrix of causal effects
Author(s)
Martin Pirkl
Examples
graph.wt <- as(matrix(c(0,0,0,1,0,0,0,1,0), 3), "graphNEL")
trueEffects(graph.wt)
kpj/dce documentation built on Oct. 29, 2022, 1:40 a.m.
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| trueEffects | R Documentation |
Compute the true casual effects of a simulated dag
Description
This function takes a DAG with edgeweights as input and computes the causal effects of all nodes on all direct and indirect children in the DAG. Alternatively see pcalg::causalEffect for pairwise computation.
Usage
trueEffects(g, partial = FALSE)
Arguments
g |
graphNEL object |
partial |
if FALSE computes the total causal effects and not just the partial edge effects |
Value
matrix of causal effects
Author(s)
Martin Pirkl
Examples
graph.wt <- as(matrix(c(0,0,0,1,0,0,0,1,0), 3), "graphNEL") trueEffects(graph.wt)
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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