Assessing Dissimilarity Between Multivariate Time Series

Provides tools to assess the dissimilarity between multivariate time-series. It is based on the psi measure described in "Numerical methods in Quaternary pollen analysis" (Birks and Gordon, 1985 ), which computes dissimilarity constrained by sample order, but the original idea has been extended to work with any kind of multivariate time-series, no matter whether they are regular, irregular, aligned or unaligned. Furthermore, the package allows to assess the significance of dissimilarity values by applying a restricted permutation test, allows to measure the contribution of individual variables to dissimilarity, and offers tools to transfer attributes (generally time or age, but other are possible) between sequences based on the similarity of their samples.


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install.packages("distantia")

1.0.0 by Blas M. Benito, 14 days ago


https://blasbenito.github.io/distantia/


Browse source code at https://github.com/cran/distantia


Authors: Blas M. Benito


Documentation:   PDF Manual  


GPL (>= 2) license


Imports plyr, grDevices, foreach, parallel, doParallel, fields, viridis, viridisLite, RColorBrewer

Suggests devtools, formatR, kableExtra, magrittr, knitr, rmarkdown


See at CRAN