dropNAResamples

Removes those elements of a list of permutation (or resample) test statistics
that contain at least one <code>NA</code> or <code>NaN</code> anywhere in their structure, including
inside nested lists.

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

dropNAResamples function

<dl><dt>.ref_dist</dt>
<dd>A list of test statistics, one element per permutation run.</dd></dl>

Arguments

Internal: Drop permutation runs containing missing values — dropNAResamples

<dl>

<dt>.ref_dist</dt>
<dd>A list of test statistics, one element per permutation run.</dd>

</dl>

dropNAResamples: Internal: Drop permutation runs containing missing values

Description

Usage

Value

Arguments

Details