ackwards                Bass-ackwards hierarchical structural analysis
augment.ackwards        Augment data with factor scores from an
                        ackwards object
autoplot                autoplot generic
autoplot.ackwards       Plot a bass-ackwards diagram or per-level fit
                        index chart
autoplot.comparability
                        Plot a comparability diagnostic
autoplot.suggest_k      Plot a suggest_k diagnostic
ba_layout               Compute a layered layout for a bass-ackwards
                        diagram
bfi25                   Big Five Inventory - 25-item IPIP example
                        dataset
boot_edges              Bootstrap confidence intervals for
                        between-level edges
check_items             Screen items for problems before factor
                        analysis
comparability           Split-half factor comparability
factor_labels           Read the factor labels stored on an ackwards
                        object
factorability           Screen a dataset for factorability and sampling
                        adequacy
forbes2023              Assessing Mental Health symptom correlation
                        matrix (Forbes 2023 applied example)
glance.ackwards         Glance at an ackwards object
label_template          Generate a node-label scaffold for autoplot
predict.ackwards        Score new observations with a fitted ackwards
                        model
print.ackwards          Print an ackwards object
print.check_items       Print an item quality check
print.comparability     Print a comparability object
print.factorability     Print a factorability screen
print.suggest_k         Print a suggest_k object
print.summary_ackwards
                        Print a summary_ackwards object
print.top_items         Print a top_items object
prune                   Flag redundant or artifactual factors (Forbes
                        2023 extension)
set_factor_labels       Attach persistent factor labels to an ackwards
                        object
sim16                   Simulated continuous bass-ackwards teaching
                        example (16 items, known hierarchy)
suggest_k               Suggest a maximum number of factors for
                        bass-ackwards analysis
summary.ackwards        Summarise an ackwards object
tidy.ackwards           Tidy an ackwards object into a long data frame
top_items               Display the salient items for each factor
