Optimize PTSD Diagnostic Criteria


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Documentation for package ‘PTSDdiag’ version 0.5.0

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analyze_best_six_symptoms_four_required Find optimal non-hierarchical six-symptom combinations for PTSD diagnosis
analyze_best_six_symptoms_four_required_clusters Find optimal hierarchical six-symptom combinations for PTSD diagnosis
apply_symptom_combinations Apply pre-specified symptom combinations to new data
as_definitions Convert imported combination specifications into definitions
as_set_matrix Coerce a combination specification to an integer matrix
ba_ci Interval for balanced accuracy
binarize_data Binarize PCL-5 symptom scores
bootstrap_stability Bootstrap stability of near-optimal symptom combinations
calculate_ptsd_total Calculate PTSD total score
chance_baseline Chance baseline for each item
check_pcl5_data Check PCL-5 item data before starting the workflow
compare_diagnostic_systems Compare multiple diagnostic systems against a reference standard
compare_optimizations Run multiple PTSD optimization scenarios in one call
compare_rule_forms Compare plateaus and stability across rule forms
compute_plateau Find the plateau of near-optimal symptom combinations
create_caps5_diagnosis Compute CAPS-5 DSM-5-TR PTSD diagnosis
create_icd11_diagnosis Apply ICD-11 PTSD diagnostic criteria to PCL-5 data
create_ptsd_diagnosis_binarized Determine PTSD diagnosis based on DSM-5 criteria using binarized scores
create_ptsd_diagnosis_nonbinarized Determine PTSD diagnosis based on DSM-5 criteria using non-binarized scores
create_readable_summary Create readable summary of PTSD diagnostic changes
cross_validation Perform k-fold cross-validation for PTSD diagnostic models
diagnostic_metrics All diagnostic accuracy metrics for one or more two-by-two tables
evaluate_definitions Evaluate symptom definitions against a sample
evaluate_sets Evaluate given symptom combinations in one sample
exact_ci Clopper-Pearson (exact) interval for a binomial proportion
extract_definitions Extract portable symptom definitions from a comparison
five_number Five-number summary of a numeric vector, as a one-row data frame
fmt_est_ci Format an estimate and its interval for a table
fmt_ratio_ci Format a ratio and its interval for a table
format_set_items Convert between combination ids and item numbers
format_set_labels Convert between combination ids and item numbers
holdout_validation Perform holdout validation for PTSD diagnostic models
icd11_items The ICD-11 PTSD criterion as PCL-5 items
icd11_performance ICD-11 performance in one sample
kappa_ci Cohen's kappa for a two-by-two table, with a large-sample interval
lr_ci Likelihood ratios with log-normal (Simel) intervals
n_candidates Size of a candidate space
optimize_combinations Find optimal symptom combinations for diagnosis (non-hierarchical)
optimize_combinations_clusters Find optimal symptom combinations for diagnosis (hierarchical/cluster-based)
pcl5_item_labels PCL-5 item labels, in DSM-5-TR order
plot_symptom_frequency Heatmap of PCL-5 symptom selection frequency across optimization scenarios
plot_symptom_selection Plot symptom selection against the chance baseline
print.ptsdiag_comparison Print method for ptsdiag_comparison objects
print.ptsdiag_plateau Print method for ptsdiag_plateau objects
print.ptsdiag_rule_forms Print method for ptsdiag_rule_forms objects
print.ptsdiag_stability Print method for ptsdiag_stability objects
print.ptsdiag_transport Print method for ptsdiag_transport objects
read_combinations Read symptom combinations from a JSON file
read_transport Read a return bundle
rename_caps5_columns Rename CAPS-5 symptom columns
rename_ptsd_columns Rename PTSD symptom (= PCL-5 item) columns
score_all_combinations Score every candidate symptom combination
set_id_to_items Convert between combination ids and item numbers
simulated_ptsd Simulated PCL-5 (PTSD Checklist) Data
simulated_ptsd_genpop Simulated General Population PCL-5 Data
summarize_ptsd Summarize PTSD scores and diagnoses
summarize_ptsd_changes Summarize changes in PTSD diagnostic metrics
summarize_top_combinations Build a tidy comparison table of top combinations across scenarios
symptom_frequency Per-symptom inclusion counts across optimization scenarios
symptom_selection Symptom selection across the plateau, against chance
transport_plateau Summarise a transported plateau for release
wilson_ci Wilson score interval for a binomial proportion
write_combinations Write symptom combinations to a JSON file
write_transport Write a return bundle