# Bass-Ackwards Hierarchical Structural Analysis

## Documentation for package ‘ackwards’ version 0.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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
boot_edges.ackwards | Bootstrap confidence intervals for between-level edges
check_items | Screen items for problems before factor analysis
comparability | Split-half factor comparability
factorability | Screen a dataset for factorability and sampling adequacy
factor_labels | Read the factor labels stored on an ackwards object
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
plot.ackwards | Plot a bass-ackwards diagram or per-level fit index chart
predict.ackwards | Score new observations with a fitted ackwards model
print.ackwards | Print an ackwards object
print.ackwards_labels | Generate a node-label scaffold for autoplot
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)
prune.ackwards | 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