cSEM: distance_measures – R documentation

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distance_measures

Calculate difference between S and Sigma_hat

Description

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

Usage

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.

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.

Value

A single numeric value giving the distance between two matrices.

Functions

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

cSEM

Composite-Based Structural Equation Modeling

v0.4.0

GPL-3

Authors

Manuel E. Rademaker [aut, cre] (<https://orcid.org/0000-0002-8902-3561>), Florian Schuberth [aut] (<https://orcid.org/0000-0002-2110-9086>), Tamara Schamberger [ctb] (<https://orcid.org/0000-0002-7845-784X>), Michael Klesel [ctb] (<https://orcid.org/0000-0002-2884-1819>), Theo K. Dijkstra [ctb], Jörg Henseler [ctb] (<https://orcid.org/0000-0002-9736-3048>)

Initial release

2021-04-09