First R script version for height estimation analysis: Bias analysis through statistics bayesian models.

Read full text
Authors: Joaquin Moreno Ibarra
Cited by: 0

Abstract

This release contains the complete R script used for the statistical analysis of stature estimation bias in skeletal remains, developed as part of a forensic anthropology thesis using the Goldman Skeletal Collection. What's included: Stature estimation functions for 11 osteometric methods (Pearson 1899 through Menéndez et al. 2018) Descriptive statistics and parametric assumption testing (KS, Levene).. Welch ANOVA and Games-Howell post-hoc analysis. Exhaustive pairwise Bland-Altman agreement analysis. Frequentist Linear Mixed Model (LMM). Bayesian Generalized Linear Mixed Model (BGLMM) via brms. Bones covered: Maximum lengths of femur, tibia, humerus, and radius. Requirements: R ≥ 4.1.0 (see README for full list of dependencies).

Fields of Study & Subjects

Forensic Anthropology and Bioarchaeology Studies Reliability and Agreement in Measurement Statistical Methods and Bayesian Inference

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
EN