Package: SPARTAAS 1.2.6

Arthur Coulon

SPARTAAS: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS

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>.

Authors:Arthur Coulon [aut, cre], Lise Bellanger [aut], Philippe Husi [aut], Bruno Desachy [ctb], Benjamin Martineau [ctb]

SPARTAAS_1.2.6.tar.gz
SPARTAAS_1.2.6.tar.gz(r-4.7-any)SPARTAAS_1.2.6.tar.gz(r-4.6-any)
SPARTAAS_1.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SPARTAAS/json (API)

# Install 'SPARTAAS' in R:

install.packages('SPARTAAS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

datacancer - Data set of cancerology.
dataceram - Data set of archeology
datacerardat - Data set of archaeology.
datangkor - Data set of archeology
datarcheo - Data set of archeology

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 4 scripts 536 downloads 23 exports 197 dependencies

Last updated from:11db254429. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	243
source / vignettes	OK	333
linux-release-x86_64	OK	249
wasm-release	OK	212

Exports:adjacency arrangePlot arrondi CAdist cerardat cerardat_app cerardat_estim_nf extract_results hclust hclustcompro hclustcompro_app hclustcompro_cutree hclustcompro_select_alpha mapclust mapclust_app mapclust_cut_tree optim_select_alpha overlap perioclust perioclust_subdivide serio_app seriograph timerange

Dependencies:abind ade4 ape askpass backports base64enc boot broom bslib cachem car carData caret class classInt cli clock cluster codetools colorspace commonmark cowplot cpp11 crosstalk curl data.table DBI DEoptimR Deriv diagram digest diptest doBy dplyr DT e1071 ellipse emmeans estimability evaluate explor FactoMineR farver fastcluster fastmap flashClust flexmix FNN fontawesome foreach forecast formatR Formula fpc fracdiff fs future future.apply generics ggdendro ggplot2 ggplotify ggrepel globals glue gower gridExtra gridGraphics gtable hardhat highr htmltools htmlwidgets httpuv httr ipred irlba isoband iterators jquerylib jsonlite kernlab KernSmooth knitr ks labeling later lattice lava lazyeval leaflet leaflet.providers leaps lifecycle listenv lme4 lmtest lubridate magrittr MASS Matrix MatrixModels mclust memoise mgcv mime minqa ModelMetrics modelr modeltools multcompView multicool mvtnorm nlme nloptr nnet nor1mix numDeriv openssl otel parallelly pbkrtest pillar pixmap pkgconfig plotly plyr png prabclus pracma pROC prodlim progressr promises proxy purrr quantreg R6 rappdirs raster rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack recipes reformulas reshape2 rlang rmarkdown robustbase rpart s2 S7 sass scales scatterD3 scatterplot3d sf shape shiny shinycssloaders shinydashboard shinyjqui shinyjs shinythemes shinyWidgets sourcetools sp SparseM sparsevctrs SQUAREM stringi stringr survival sys terra tibble tidyr tidyselect timechange timeDate tinytex tzdb units urca utf8 vctrs viridisLite withr wk xfun xtable yaml yulab.utils zoo

Help page	Topics
SPARTAAS	SPARTAAS-package SPARTAAS
Dissimilarity matrix based on connectivity information.	adjacency
arrangePlot	arrangePlot
Returns the rounded value.	arrondi
Distance matrix based on correspondence analysis results	CAdist
cerardat	cerardat
Launch the shiny application.	cerardat_app
Number of axes to keep	cerardat_estim_nf
Data set of cancerology.	datacancer
Data set of archeology	dataceram
Data set of archaeology.	datacerardat
Data set of archeology	datangkor
Data set of archeology	datarcheo
Generates all plots (in jpeg format) in a subfolder	extract_results
Hierarchical clustering for multiple datasets (Compromised clustering).	hclust
hclustcompro	hclustcompro
Launch the shiny application.	hclustcompro_app
Cut a Tree into Groups of Data.	hclustcompro_cutree
Estimate the optimal value(s) of the alpha parameter.	hclustcompro_select_alpha
Divise hierarchical Clustering using Spatialpatches algorithm.	mapclust
Shiny application for Mapclust method	mapclust_app
Function to cut the dendrogram for a new height (distance limit) or a new number of clusters and map the new partition	mapclust_cut_tree
Optimized selection of the weights for the sources (hclustcompro)	optim_select_alpha
Temporal overlap index	overlap
perioclust	perioclust
Subdivide a cluster after running perioclust.	perioclust_subdivide
plot cerardat model	plot.cerardat_obj
Launch the shiny application.	serio_app
Plot seriograph (B. DESACHY).	seriograph
Plot the time range of observations sorted by cluster.	timerange

Package: SPARTAAS 1.2.6

SPARTAAS: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)