processData

A <code>data.frame</code> or a <code>matrix</code> of standardized or unstandardized
data (indicators/items/manifest variables). Possible column types or classes
of the data provided are: "<code>logical</code>", "<code>numeric</code>" ("<code>double</code>" or "<code>integer</code>"),
"<code>factor</code>" ("<code>ordered</code>" and/or "<code>unordered</code>"), "<code>character</code>" (converted to factor),
or a mix of several types.

.data

A model in <a rd-options="lavaan:model.syntax" href="/link/lavaan%20model%20syntax?package=cSEM&version=0.1.0&to=lavaan%3Amodel.syntax" data-mini-rdoc="lavaan:model.syntax::lavaan model syntax">lavaan model syntax</a>
or a <a rd-options="" href="/link/cSEMModel?package=cSEM&version=0.1.0" data-mini-rdoc="cSEM::cSEMModel">cSEMModel</a> list.

.model

A named list of vectors of instruments. The names
of the list elements are the names of the dependent (LHS) constructs of the structural
equation whose explanatory variables are endogenous. The vectors
contain the names of the instruments corresponding to each equation. Note
that exogenous variables of a given equation must be supplied as
instruments for themselves. Defaults to <code>NULL</code>.

.instruments

Prepare, standardize, check, and clean data provided via the <code>.data</code> argument.

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<e2><80><99>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.).

Manuel Rademaker

cSEM

Composite-Based Structural Equation Modeling

Florian Schuberth

Tamara Schamberger

Michael Klesel

Theo K. Dijkstra

processData function

A model in <a rd-options='lavaan:model.syntax' href='lavaan model syntax'>lavaan model syntax</a>
or a <a rd-options='' href='cSEMModel'>cSEMModel</a> list.

processData: Internal: Process data

Description

Usage

Arguments

Value