isPositiveSemiDefinite

Check if a matrix is positive semi definite (PSD).
A matrix is PSD if all of its eigenvalues are greater than or
equal to zero.

internal

Estimate, assess, test, and study linear, nonlinear, hierarchical
and multigroup structural equation models using composite-based approaches
and procedures, including estimation techniques such as partial least squares
path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc),
generalized structured component analysis (GSCA), generalized structured
component analysis with uniqueness terms (GSCAm), generalized canonical
correlation analysis (GCCA), principal component analysis (PCA),
factor score regression (FSR) using sum score, regression or
Bartlett scores (including bias correction using Croon’s approach),
as well as several tests and typical postestimation procedures
(e.g., verify admissibility of the estimates, assess the model fit,
test the model fit etc.).

Florian Schuberth

cSEM

Composite-Based Structural Equation Modeling

isPositiveSemiDefinite function

<dl><dt>.matrix</dt>
<dd>Numeric matrix to be checked.</dd>
<dt>.tolerance</dt>
<dd>Tolerance for close to zero (negative) values.</dd></dl>

Arguments

Internal: Check if matrix is positive semi definite — isPositiveSemiDefinite

<dl>

<dt>.matrix</dt>
<dd>Numeric matrix to be checked.</dd>


<dt>.tolerance</dt>
<dd>Tolerance for close to zero (negative) values.</dd>

</dl>

isPositiveSemiDefinite: Internal: Check if matrix is positive semi definite

Description

Usage

Value

Arguments