Statistical analysis


Allen’s Interval Algebra for Archaeologists.


A Web tool for converting CAs with dating information to relative time intervals as RDF.


An R package for Smith’s Mean Measure of Divergence (MMD), with a graphical user interface, facilities for trait selection and graphical representations.


Working with map data in R.


R script that implements a means for statistically assessing the degree of co-occurrence between classes within a dataset.


R-script for conducting and evaluating bootstrapped correspondence analyses.


Script for calculating Brainerd-Robinson coefficients based on tabular count or percent data. This script also estimates the probability that a given difference between two samples is the product of sampling error.


R Script for Seriation Using Correspondence Analysis.


R package to help interpreting Correspondence Analysis' results.


R Package for contingency tables seriation via Correspondence Analysis.


An Approximate Bayesian Computation Framework for inferring patterns of cultural transmission from frequency data.


Simple Principal Components Analysis (PCA) and Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation.


Application (in LibreOffice Calc) for serializing a graphic matrix from counting tables. The application makes it possible to obtain either a serograph or a graph of the PVI matrograph type (visualization of the differences in independence from the percentages of independence values) which does not favor the vision of the variables over that of the lines and more suitable for non-chronological treatments.


Script for conducting K-means cluster analysis using R. This script provides output designed to help the user select an appropriate cluster solution.


Tool for calculating the largest empty circles and estimation of archaeological sites theoretically to be expected in region of interest, an implementation of the method published by Andreas Zimmermann and Karl Peter Wendt (2003).


Moran’s I and Getis-Ord G* Analysis.


Script for calculating mean ceramic dates based on tabular data. This script also estimates sampling error using a bootstrapping procedure.


An R package implementing functions to perform spatio-temporal paleoclimate reconstruction from tree-rings using the CAR (Correlation Adjusted corRelation) approach of Zuber and Strimmer.


Pure Locational Clustering.


Point Pattern Analysis.


A package to analyze data used to determine whether samples from multiple sources can be separated, to predict the sources of samples from unknown sources, and to evaluation the validity of those predictions. Sample data can include both quantitative and qualitative data. The package includes functions for creating an analysis file from multiple files and exploratory data analysis, as well as multivariate statistical methods to determine source separation, predict sources of unknown samples, and evaluate the validity of the predictions (principal components, classification trees, and random forests).


R Library for Quantitative Analysis in Archaeology.


An R package to facilitate the use of Murail et al.’s (1999) approach of sex estimation in past populations.


Algorithms, implementations, manuscripts, and test cases for iterative deterministic frequency seriation done by agglomeration.


R package that provides the infrastructure for ordering objects with an implementation of several seriation/sequencing/ordination techniques to reorder matrices, dissimilarity matrices, and dendrograms (see below for a full list). Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT).


This R package contains exactly one function, that calculates the “sum of individual weighted means” according to a methodology that is quite common among archaeologists and was first published in 1988 by Elisabeth Fentress and Philip Perkins.


Statistical pattern recognition and dating using archaeological artefacts assemblages.


Analysis, Seriation and Visualization of Archaeological Count Data.


Tools for Quantitative Archaeology - in R.


Tool for Online Seriation and Correspondence Analysis.


Unconstrained Clustering.