Calculate difference between S and Sigma_hat — distance

Calculate the difference between the empirical (S) and the model-implied indicator variance-covariance matrix (Sigma_hat) using different distance measures.

calculateDG(
  .object = NULL,
  .matrix1 = NULL,
  .matrix2 = NULL,
  .saturated = FALSE,
  ...
)

calculateDL(
  .object = NULL,
  .matrix1 = NULL,
  .matrix2 = NULL,
  .saturated = FALSE,
  ...
)

calculateDML(
  .object = NULL,
  .matrix1 = NULL,
  .matrix2 = NULL,
  .saturated = FALSE,
  ...
)

Arguments

.object: An R object of class cSEMResults resulting from a call to csem().
.matrix1: A matrix to compare.
.matrix2: A matrix to compare.
.saturated: Logical. Should a saturated structural model be used? Defaults to FALSE.
...: Ignored.

Value

A single numeric value giving the distance between two matrices.

Details

The distances may also be computed for any two matrices A and B by supplying A and B directly via the .matrix1 and .matrix2 arguments. If A and B are supplied .object is ignored.

Functions

calculateDG(): The geodesic distance (dG).
calculateDL(): The squared Euclidean distance
calculateDML(): The distance measure (fit function) used by ML