seminr

seminr PLSc Function

Converts all contructs of a measurement model, or just a single construct into reflective factors.

Converts a contruct of a measurement model into a reflective factor.

Converts interaction of a measurement model into a reflective factors.

Converts all contructs of a measurement model, or just a single construct into reflective factors.

Specifies inter-item covariances that should be supplied to CBSEM estimation (estimate_cbsem) or CFA estimation (estimate_cfa)

seminr bootstrap_model Function

Open Edotor graphViz Website with the preloaded in the Browser

A function to create regression plots (maybe not needed?)

Composite construct measurement model specification

Function to calculate Akaike weights for IT Criteria

seminr confidence intervals function

Measurement functions

Measurement Instrument for the Corporate Reputation Model

A Second Measurement Instrument for the Corporate Reputation Model

seminr csem2seminr() function

Cross-tabulates columns of a dataframe into a matrix with NAs for unspecified pairs

Generates the dot code for the measurement model

Generate a dot graph from various SEMinR models

Creates a dot string with a network graph of constructs based on HTMT measures

generates the dot code for a subgraph (per construct)

The default template for labeling bootstrapped edges

A minimal template for labeling bootstrapped edges that only shows the bootstrapped mean value

Wrap a text in single quotes

seminr estimate_cbsem() function

seminr estimate_cfa() function

seminr estimate_lavaan_ten_berge() function

seminr estimate_pls() function

extract bootstrapped statistics from an edge using a row_index

Helper function that applies formatting to each construct

extracts the constructs and their types from the model

gets the mm_edge value (loading, weight) for bootstrapped and regular models

extract mm edges from model for a given index of all constructs

gets the individual nodes and applies formatting

Helper function that applies formatting to each construct

seminr fSquared Function

Helps to render a node label for endogenous variables

Helps to render a node label for exogenous variables

Gets the optimal size for construct elements in the plot

Returns the type of a construct from a model

Get dot string for global theme options

Get dot string for global theme options

Gets the optimal size for manifest elements in the plot

individual styles for measurement model edges

Get a string to insert into a node specification using the themed shape

get global measurement model node style

Get a string to insert into a node specification using the themed shape

Get Documentation for theme options to use in Addin

Formats the style of the structural model edges

Formats the style of the structural model edges

higher_composite

Interaction function

Specifies pair of items, or sets of items, that should covary. Used to specify error covariances for associations.

Retrieve the last plot to be modified or created.

Function to clean data of omitted values by mean replacement

Measurement Instrument for the Mobile Phone Industry

Outer weighting scheme functions to estimate construct weighting.

Outer weighting scheme functions to estimate construct weighting.

Multi-items measurement model specification

The default template for labeling endogenous construct nodes

The default template for labeling exogenous construct nodes

orthogonal creates interaction measurement items by using the orthogonalized approach wherein

Create a list of section content from every documentation page from a package

Inner weighting scheme functions to estimate inner paths matrix

Inner weighting scheme functions to estimate inner paths matrix

Function for plotting the measurement model reliability metrics of a PLS model

Plot various SEMinR models

Plots a network graph of constructs based on HTMT measures

Predictive Scheme

Predictive Scheme

Predict_pls performs either k-fold or LOOCV on a SEMinR PLS model and generates predictions

product_indicator creates interaction measurement items by scaled product indicator approach.

Format p values for the output and removes trailing numbers when p > .10

Format p values for the output and removes trailing numbers when p > .10

Reflective construct measurement model specification

Structural specification functions for seminr package

Functions for reporting the Path Coefficients and R2 of endogenous constructs and for generating a scatterplot matrix of construct scores.

seminr rho_A Function

Saves a SEMinR model plot to file

Create a theme for a seminr graph visualization

The theme function for an inverted theme on black background.

A colored theme

Get and set the active theme

A theme function for a basic b/w theme

Set the last plot to be fetched by lastplot()

seminr simplePLS Function

Single-item measurement model specification

Function for plotting a slope analysis for an interaction in a PLS model

seminr specify_model() function

seminr total indirect confidence intervals function

Creates an interaction measurement item using a two-stage approach. The two-stage procedure for both PLS and CBSEM models estimates construct scores in the first stage, and uses them to produce a single-item product item for the interaction term in the second stage. For a PLS model, the first stage uses PLS to compute construct scores. For a CBSEM model, the first stage uses a CFA to produce ten Berge construct scores.

Should a construct type use weights or loadings