as.reflective |
Converts all contructs of a measurement model, or just a single construct into reflective factors. |
as.reflective.construct |
Converts a contruct of a measurement model into a reflective factor. |
as.reflective.interaction |
Converts interaction of a measurement model into a reflective factors. |
as.reflective.measurement_model |
Converts all contructs of a measurement model, or just a single construct into reflective factors. |
associations |
Specifies inter-item covariances that should be supplied to CBSEM estimation ('estimate_cbsem') or CFA estimation ('estimate_cfa') |
bootstrap_model |
seminr bootstrap_model Function |
browse_plot |
Open Edotor graphViz Website with the preloaded in the Browser |
check_test_plot |
A function to create regression plots (maybe not needed?) |
composite |
Composite construct measurement model specification |
compute_itcriteria_weights |
Function to calculate Akaike weights for IT Criteria |
confidence_interval |
seminr confidence intervals function |
constructs |
Measurement functions |
corp_rep_data |
Measurement Instrument for the Corporate Reputation Model |
corp_rep_data2 |
A Second Measurement Instrument for the Corporate Reputation Model |
correlation_weights |
Outer weighting scheme functions to estimate construct weighting. |
csem2seminr |
seminr csem2seminr() function |
df_xtab_matrix |
Cross-tabulates columns of a dataframe into a matrix with NAs for unspecified pairs |
dot_component_mm |
Generates the dot code for the measurement model |
dot_graph |
Generate a dot graph from various SEMinR models |
dot_graph.boot_seminr_model |
Generate a dot graph from various SEMinR models |
dot_graph.cbsem_model |
Generate a dot graph from various SEMinR models |
dot_graph.cfa_model |
Generate a dot graph from various SEMinR models |
dot_graph.measurement_model |
Generate a dot graph from various SEMinR models |
dot_graph.pls_model |
Generate a dot graph from various SEMinR models |
dot_graph.specified_model |
Generate a dot graph from various SEMinR models |
dot_graph.structural_model |
Generate a dot graph from various SEMinR models |
dot_graph_htmt |
Creates a dot string with a network graph of constructs based on HTMT measures |
dot_subcomponent_mm |
generates the dot code for a subgraph (per construct) |
edge_template_default |
The default template for labeling bootstrapped edges |
edge_template_minimal |
A minimal template for labeling bootstrapped edges that only shows the bootstrapped mean value |
esc_node |
Wrap a text in single quotes |
estimate_cbsem |
seminr estimate_cbsem() function |
estimate_cfa |
seminr estimate_cfa() function |
estimate_lavaan_ten_berge |
seminr estimate_lavaan_ten_berge() function |
estimate_pls |
seminr estimate_pls() function |
extract_bootstrapped_values |
extract bootstrapped statistics from an edge using a row_index |
extract_htmt_nodes |
Helper function that applies formatting to each construct |
extract_mm_coding |
extracts the constructs and their types from the model |
extract_mm_edges |
extract mm edges from model for a given index of all constructs |
extract_mm_edge_value |
gets the mm_edge value (loading, weight) for bootstrapped and regular models |
extract_mm_nodes |
gets the individual nodes and applies formatting |
extract_sm_nodes |
Helper function that applies formatting to each construct |
format_endo_node_label |
Helps to render a node label for endogenous variables |
format_exo_node_label |
Helps to render a node label for exogenous variables |
fSquared |
seminr fSquared Function |
get_construct_element_size |
Gets the optimal size for construct elements in the plot |
get_construct_type |
Returns the type of a construct from a model |
get_manifest_element_size |
Gets the optimal size for manifest elements in the plot |
get_mm_edge_style |
individual styles for measurement model edges |
get_mm_node_shape |
Get a string to insert into a node specification using the themed shape |
get_mm_node_style |
get global measurement model node style |
get_sm_node_shape |
Get a string to insert into a node specification using the themed shape |
get_value_dependent_mm_edge_style |
Formats the style of the structural model edges |
get_value_dependent_sm_edge_style |
Formats the style of the structural model edges |
higher_composite |
higher_composite |
interaction_term |
Interaction function |
item_errors |
Specifies pair of items, or sets of items, that should covary. Used to specify error covariances for 'associations'. |
mean_replacement |
Function to clean data of omitted values by mean replacement |
mobi |
Measurement Instrument for the Mobile Phone Industry |
mode_A |
Outer weighting scheme functions to estimate construct weighting. |
mode_A, |
Outer weighting scheme functions to estimate construct weighting. |
mode_B |
Outer weighting scheme functions to estimate construct weighting. |
mode_B, |
Outer weighting scheme functions to estimate construct weighting. |
multi_items |
Multi-items measurement model specification |
node_endo_template_default |
The default template for labeling endogenous construct nodes |
node_exo_template_default |
The default template for labeling exogenous construct nodes |
orthogonal |
'orthogonal' creates interaction measurement items by using the orthogonalized approach wherein |
paths |
Structural specification functions for seminr package |
path_factorial |
Inner weighting scheme functions to estimate inner paths matrix |
path_weighting |
Inner weighting scheme functions to estimate inner paths matrix |
plot.reliability_table |
Function for plotting the measurement model reliability metrics of a PLS model |
plot.seminr_model |
Plot various SEMinR models |
plot_htmt |
Plots a network graph of constructs based on HTMT measures |
plot_scores |
Functions for reporting the Path Coefficients and R2 of endogenous constructs and for generating a scatterplot matrix of construct scores. |
PLSc |
seminr PLSc Function |
predict_DA |
Predictive Scheme |
predict_EA |
Predictive Scheme |
predict_pls |
Predict_pls performs either k-fold or LOOCV on a SEMinR PLS model and generates predictions |
product_indicator |
'product_indicator' creates interaction measurement items by scaled product indicator approach. |
reflective |
Reflective construct measurement model specification |
regression_weights |
Outer weighting scheme functions to estimate construct weighting. |
relationships |
Structural specification functions for seminr package |
report_paths |
Functions for reporting the Path Coefficients and R2 of endogenous constructs and for generating a scatterplot matrix of construct scores. |
rho_A |
seminr rho_A Function |
save_plot |
Saves a SEMinR model plot to file |
seminr_theme_create |
Create a theme for a seminr graph visualization |
seminr_theme_dark |
The theme function for an inverted theme on black background. |
seminr_theme_default |
A colored theme |
seminr_theme_get |
Get and set the active theme |
seminr_theme_old |
A theme function for a basic b/w theme |
seminr_theme_set |
Get and set the active theme |
seminr_theme_smart |
A colored theme |
simplePLS |
seminr simplePLS Function |
single_item |
Single-item measurement model specification |
slope_analysis |
Function for plotting a slope analysis for an interaction in a PLS model |
specify_model |
seminr specify_model() function |
total_indirect_ci |
seminr total indirect confidence intervals function |
two_stage |
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. |