gsim: A simulated data set from a Gaussian continuous Bayesian...
In BiDAG: Bayesian Inference for Directed Acyclic Graphs
gsim R Documentation
A simulated data set from a Gaussian continuous Bayesian network
Description
A synthetic dataset containing 1000 observations generated from a random DAG with 100 continuous nodes.
Functions 'randomDAG' and 'rmvDAG' from R-packages 'pcalg' were used to generate the data.
Usage
gsim
Format
A data frame with 1000 rows representing observations of 100 continuous variables: V1, ..., V100
BiDAG documentation built on May 31, 2023, 6:46 p.m.
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| gsim | R Documentation |
A simulated data set from a Gaussian continuous Bayesian network
Description
A synthetic dataset containing 1000 observations generated from a random DAG with 100 continuous nodes. Functions 'randomDAG' and 'rmvDAG' from R-packages 'pcalg' were used to generate the data.
Usage
gsim
Format
A data frame with 1000 rows representing observations of 100 continuous variables: V1, ..., V100
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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