| 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 |
| composite | Composite construct measurement model specification |
| confidence_interval | seminr confidence intervals function |
| constructs | Measurement functions |
| correlation_weights | Outer weighting scheme functions to estimate construct weighting. |
| df_xtab_matrix | Cross-tabulates columns of a dataframe into a matrix with NAs for unspecified pairs |
| 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 |
| fSquared | seminr fSquared Function |
| 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'. |
| 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 |
| 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_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 |
| 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 |
| simplePLS | seminr simplePLS Function |
| single_item | Single-item measurement model specification |
| 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. |