Package index

Data Preparation

Functions for preparing and standardizing PCL-5 data

rename_ptsd_columns()

Rename PTSD symptom (= PCL-5 item) columns

binarize_data()

Binarize PCL-5 symptom scores

Diagnostic Scoring

Functions for calculating PTSD diagnoses and total scores

calculate_ptsd_total()

Calculate PTSD total score

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

Analysis Functions

Functions for analyzing optimal symptom combinations

optimize_combinations()

Find optimal symptom combinations for diagnosis (non-hierarchical)

optimize_combinations_clusters()

Find optimal symptom combinations for diagnosis (hierarchical/cluster-based)

apply_symptom_combinations()

Apply pre-specified symptom combinations to new data

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

Import/Export

Functions for sharing symptom combinations across research groups

write_combinations()

Write symptom combinations to a JSON file

read_combinations()

Read symptom combinations from a JSON file

Summary and Reporting

Functions for creating summaries and comparing diagnostic approaches

summarize_ptsd()

Summarize PTSD scores and diagnoses

summarize_ptsd_changes()

Summarize changes in PTSD diagnostic metrics

create_readable_summary()

Create readable summary of PTSD diagnostic changes

Validation

Model validation methods

holdout_validation()

Perform holdout validation for PTSD diagnostic models

cross_validation()

Perform k-fold cross-validation for PTSD diagnostic models

Datasets

Example and simulated datasets

simulated_ptsd

Simulated PCL-5 (PTSD Checklist) Data

simulated_ptsd_genpop

Simulated General Population PCL-5 Data