rDAGdist: Generate a distribution from a DAG model
In rje42/ADMGs2: Functions for Describing and Fitting Discrete Mixed Graphs
rDAGdist R Documentation
Generate a distribution from a DAG model
Description
Simulate conditional probability tables to obtain a
discrete DAG model that is Markov with respect to the
graph.
Usage
rDAGdist(n, graph, dims = rep(2L, nv(graph)), alpha = 1)
Arguments
n
number of distributions to simulate
graph
a DAG object of class mixedgraph
dims
integer vector of dimensions of distribution
alpha
parameter to use in Dirichlet distribution
Details
Simulated conditional probability tables for each
node given its parents, and uses this to obtain the joint
distribution.
rje42/ADMGs2 documentation built on Sept. 3, 2024, 7:39 p.m.
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| rDAGdist | R Documentation |
Generate a distribution from a DAG model
Description
Simulate conditional probability tables to obtain a discrete DAG model that is Markov with respect to the graph.
Usage
rDAGdist(n, graph, dims = rep(2L, nv(graph)), alpha = 1)
Arguments
n |
number of distributions to simulate |
graph |
a DAG object of class |
dims |
integer vector of dimensions of distribution |
alpha |
parameter to use in Dirichlet distribution |
Details
Simulated conditional probability tables for each node given its parents, and uses this to obtain the joint distribution.
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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