sim: Simulate a data frame from a DAG
In gmonette/causalsim: Covariance Matrix of a Causal Graph
sim R Documentation
Simulate a data frame from a DAG
Description
Simulates a data frame from the multivariate normal
distribution generated by a DAG
Usage
sim(dag, n)
Arguments
dag
a lower triangular matrix representing a
DAG or a matrix that can be permutted into
such a matrix.
n
the number of observations to generate.
Value
a data frame with one column for each
variable in the DAG. The variables are
generated from a multivariate normal
distribution with mean zero
and variance matrix implied by the
coefficients of the DAG.
gmonette/causalsim documentation built on April 21, 2022, 1:40 a.m.
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| sim | R Documentation |
Simulate a data frame from a DAG
Description
Simulates a data frame from the multivariate normal distribution generated by a DAG
Usage
sim(dag, n)
Arguments
dag |
a lower triangular matrix representing a DAG or a matrix that can be permutted into such a matrix. |
n |
the number of observations to generate. |
Value
a data frame with one column for each variable in the DAG. The variables are generated from a multivariate normal distribution with mean zero and variance matrix implied by the coefficients of the DAG.
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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