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impliedCovarianceMatrix

Implied Covariance Matrix of a Gaussian Graphical Model

Implied Covariance Matrix of a Gaussian Graphical Model

impliedCovarianceMatrix(
  x,
  b.default = NULL,
  b.lower = -0.6,
  b.upper = 0.6,
  eps = 1,
  standardized = TRUE
)

`x`	the input graph, a DAG (which may contain bidirected edges).
`b.default`	default path coefficient applied to arrows for which no coefficient is defined in the model syntax.
`b.lower`	lower bound for random path coefficients, applied if `b.default=NULL`.
`b.upper`	upper bound for path coefficients.
`eps`	residual variance (only meaningful if `standardized=FALSE`).
`standardized`	logical. If true, a standardized population covariance matrix is generated (all variables have variance 1).

Graphical Analysis of Structural Causal Models

v0.3-1

GPL-2

Authors

Johannes Textor, Benito van der Zander, Ankur Ankan

Initial release

2021-01-20