IDADE2
IDADE2 estimates adult age-at-death from human skeletal remains by applying Bayesian inference to acetabular scores.
Key Features:
- Bayesian Inference: Applies Bayesian statistical methods to model age-related changes in the acetabulum and produce probabilistic age estimates.
- Probabilistic Output: Reports age ranges with associated probabilities for inferred ages.
- Reference Datasets: Uses documented skeletal reference collections from Spain (24 females, 52 males), Portugal (317 females, 294 males), and the United States (370 females, 456 males).
- Implementation: Implemented in R.
- Estimation Modes (Option 1 and Option 2): Option 1 estimates individual age-at-death using reference acetabular scores; Option 2 accepts user-supplied reference and test collections or alternative age markers and methods.
Scientific Applications:
- Forensic Anthropology: Age-at-death estimation for forensic casework involving single individuals using acetabular scoring and Bayesian methods.
- Bioarchaeology: Population-level analyses of age distributions and demographic profiles in large skeletal samples.
Methodology:
Employs Bayesian statistical inference on acetabular scoring to generate probabilistic age ranges; uses documented reference skeletal datasets from Spain (24F/52M), Portugal (317F/294M), and the United States (370F/456M); implemented in R; provides two operational modes—Option 1 for individual age estimation using reference acetabular scores and Option 2 for analyses using custom reference/test collections or alternative age markers and methods.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api, web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Rissech C, Winburn AP, San‐Millán M, Sastre J, Rocha J. The acetabulum as an adult age marker and the new IDADE2 (the IDADE2 web page). American Journal of Physical Anthropology. 2019;169(4):757-764. doi:10.1002/ajpa.23856. PMID:31087665.