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SPARTAAS (version 1.2.1)

Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS

Description

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) . seriograph: Desachy Bruno (2004) . cerardat: Bellanger Lise, Husi Philippe (2012) .

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Version

Install

install.packages('SPARTAAS')

Monthly Downloads

158

Version

1.2.1

License

GPL (>= 2)

Maintainer

Arthur Coulon

Last Published

June 6th, 2023

Functions in SPARTAAS (1.2.1)

extract_results

Generates all plots (in jpeg format) in a subfolder
hclustcompro_subdivide

Subdivide a cluster after running hclustcompro.
datangkor

Data set of archeology
timerange

Plot the time range of observations sorted by cluster.
plot.cerardat_obj

plot cerardat model
seriograph

Plot seriograph (B. DESACHY).
serio_app

Launch the shiny application.
overlap

Temporal overlap index
datarcheo

Data set of archeology
mapclust_cut_tree

Function to cut the dendrogram for a new height (distance limit) or a new number of clusters and map the new partition
datacerardat

Data set of archaeology.
CAdist

Distance matrix based on correspondence analysis results
adjacency

Dissimilarity matrix based on connectivity information.
dataceram

Data set of archeology
cerardat_app

Launch the shiny application.
datacancer

Data set of cancerology.
SPARTAAS-package

SPARTAAS
cerardat_estim_nf

Number of axes to keep
arrondi

Returns the rounded value.
cerardat

cerardat
mapclust_app

Shiny application for Mapclust method
mapclust

Divise hierarchical Clustering using Spatialpatches algorithm.
hclustcompro

hclustcompro
hclustcompro_app

Launch the shiny application.
hclust

Hierarchical clustering of up to two datasets (Compromised clustering).
hclustcompro_select_alpha

Estimate the optimal value(s) of the \(\alpha\) parameter.