A B C D E F G H I M N O P R S T
| 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 |
| 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. |
| cor_rsq | Returns R-sq of a dv given correlation matrix of ivs, dv cors <- cbsem_summary$descriptives$correlations$constructs cor_rsq(cors, dv_name = "Value", iv_names = c("Image", "Quality")) |
| 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 |
| estimate_pls_mga | Performs PLS-MGA to report significance of path differences between two subgroups of data |
| 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 |
| higher_reflective | higher_reflective |
| influencer_data | Measurement Instrument for the Influencer Model |
| interaction_term | Interaction function |
| is_sink | Tests whether the i_th construct is endogenous or not |
| 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_interaction | Function for plotting interaction plot for moderated PLS or CBSEM model |
| 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 |
| print.seminr_pls_mga | Summary function for PLS-MGA |
| 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. |
| rerun | Reruns a previously specified seminr model/analysis |
| rerun.pls_model | Reruns a previously specified seminr PLS model |
| 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 |
| specific_effect_significance | seminr specific effect significance function |
| 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. |