Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS
Divise hierarchical Clustering using Spatialpatches algorithm.
Dissimilarity matrix based on connectivity information.
Returns the rounded value.
Distance matrix based on correspondence analysis results
Launch the shiny application.
Number of axes to keep
cerardat
Generates all plots (in jpeg format) in a subfolder
Hierarchical clustering of up to two datasets (Compromised clustering)...
Launch the shiny application.
Estimate the optimal value(s) of the parameter.
Subdivide a cluster after running hclustcompro.
hclustcompro
Shiny application for Mapclust method
Function to cut the dendrogram for a new height (distance limit) or a ...
Temporal overlap index
plot cerardat model
Launch the shiny application.
Plot seriograph (B. DESACHY).
SPARTAAS
Plot the time range of observations sorted by cluster.
Statistical pattern recognition and dating using archaeological artefacts assemblages. Package of statistical tools for archaeology. hclustcompro()/perioclust(): Bellanger Lise, Coulon Arthur, Husi Philippe (2021, ISBN:978-3-030-60103-4). mapclust(): Bellanger Lise, Coulon Arthur, Husi Philippe (2021) <doi:10.1016/j.jas.2021.105431>. seriograph(): Desachy Bruno (2004) <doi:10.3406/pica.2004.2396>. cerardat(): Bellanger Lise, Husi Philippe (2012) <doi:10.1016/j.jas.2011.06.031>.