Man pages for mispitools
Missing Person Identification Tools
| Argentina | STR Allele Frequencies from Argentina |
| Asia | STR Allele Frequencies from Asian Populations |
| as_lr_dist | Coerce to a Likelihood-Ratio Distribution Object |
| Austria | STR Allele Frequencies from Austria |
| belief_trajectory | Compute a belief trajectory from sequential evidence |
| binary_belief_trajectory | Compute a binary belief trajectory from per-marker likelihood... |
| BosniaHerz | STR Allele Frequencies from Bosnia and Herzegovina |
| calibrate_concentration_cutoff | Calibrate pedigree-specific concentration cutoff |
| China | STR Allele Frequencies from China |
| compute_conditioned_prop | Compute Conditioned Proportions for Pigmentation Traits |
| compute_reference_prop | Compute Reference Population Proportions for Pigmentation... |
| concentration_index | Concentration index of per-step evidence contributions |
| concentration_index_positive | Inclusion-fragility concentration index (positive weights... |
| cpt_missing_person | Missing Person-Based Conditional Probability Table |
| cpt_population | Population-Based Conditional Probability Table |
| decision_threshold | Compute Optimal Decision Threshold |
| entropy_log10 | Shannon entropy in base-10 (bans) |
| error_matrix_hair | Hair Color Error/Confusion Matrix |
| Europe | STR Allele Frequencies from Europe |
| familias_trajectory | Belief trajectory metrics from a... |
| fragility_report | Per-case fragility report |
| get_allele_freqs | Get Allele Frequencies in pedtools Format |
| herfindahl_index | Herfindahl-Hirschman concentration of evidence contributions |
| Japan | STR Allele Frequencies from Japan |
| kl_divergence_log10 | Kullback-Leibler divergence in base-10 (bans) |
| leave_one_out | Leave-one-out fragility analysis of evidence contributions |
| lr_age | Likelihood Ratio for Age Variable |
| lr_birthdate | Likelihood Ratio for Birth Date |
| lr_combine | Combine Likelihood Ratios from Multiple Sources |
| lr_compute_pigmentation | Compute Likelihood Ratios for Pigmentation Traits |
| lr_distribution | Composed likelihood-ratio distribution over a marker profile |
| lr_hair_color | Likelihood Ratio for Hair Color |
| lr_pigmentation | Simulate LR Distributions for Pigmentation Traits |
| lr_sensitivity | Sensitivity Analysis for Likelihood Ratios |
| lr_sex | Likelihood Ratio for Biological Sex |
| lr_to_dataframe | Convert Genetic LR Simulations to Data Frame |
| marker_model | Marker model (S3) |
| mispitools_app | Comprehensive Shiny App for Missing Person Identification |
| mispitools-deprecated | Deprecated functions in mispitools |
| mispitools-package | mispitools: Missing Person Identification Tools |
| nongenetic_feature | Non-genetic feature model (S3) |
| per_marker_kl | Per-marker bidirectional Kullback-Leibler divergence and... |
| per_marker_kl_profile | Per-marker bidirectional KL across a marker profile |
| plot_cpt | Plot Conditional Probability Tables Comparison |
| plot_decision_curve | Plot Decision Curve (FPR vs FNR) |
| plot.lr_dist | Plot a Likelihood-Ratio Distribution |
| plot_lr_distribution | Plot Likelihood Ratio Distributions |
| print.marker_model | Print method for marker_model |
| print.nongenetic_feature | Print method for nongenetic_feature |
| quantile.lr_dist | Quantiles of a likelihood-ratio distribution |
| shannon_concentration | Shannon-entropy-based concentration of evidence contributions |
| sim_lr_genetic | Simulate Likelihood Ratios from Genetic Data |
| sim_lr_prelim | Simulate Likelihood Ratios from Preliminary Investigation... |
| sim_mp_prelim | Simulate Preliminary Investigation Data for Missing Persons |
| sim_poi_prelim | Simulate Preliminary Investigation Data for Persons of... |
| sim_reference_pop | Simulate Reference Population with Pigmentation Traits |
| summary.lr_dist | Summarise a Likelihood-Ratio Distribution |
| threshold_rates | Compute Error Rates at a Specific Threshold |
| trajectory_metrics | Trajectory metrics from a belief trajectory matrix |
| USA | STR Allele Frequencies from United States |
