distance_measures {cSEM}  R Documentation 
Calculate difference between S and Sigma_hat
Description
Calculate the difference between the empirical (S) and the modelimplied indicator variancecovariance 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 
.matrix1 
A 
.matrix2 
A 
.saturated 
Logical. Should a saturated structural model be used?
Defaults to 
... 
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 Euclidean distance 
calculateDML()
: The distance measure (fit function) used by ML
[Package cSEM version 0.5.0 Index]