dagitty (version 0.3-4)

impliedCovarianceMatrix: Implied Covariance Matrix of a Gaussian Graphical Model

Description

Implied Covariance Matrix of a Gaussian Graphical Model

Usage

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

Arguments

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).