Identifiers are functions that take as input a covariance matrix Sigma corresponding to some latent digraph G and, from that covariance matrix, identify some subset of the coefficients in the latent digraph G. This function takes as input the matrix L defining G and creates an identifier that does not identify any of the coefficients of G. This is useful as a base case when building more complex identification functions.
createLFIdentifierBaseCase(graph)a function that takes as input a covariance matrix compatible with the latent digraph defined by L and returns a list with two named components:
Lambdaa matrix equal to the observed part of L but with NA values instead of 1s
Omegaa matrix equal to O but with NA values for coefficients not equal to zero.
When building more complex identifiers these NAs will be replaced by the value that can be identified from Sigma.
a LatentDigraph object representing
the latent-factor graph. All latent nodes in this graph should be
source nodes (i.e. have no parents).