distantia: Assessing Dissimilarity Between Multivariate Time Series

Provides tools to assess the dissimilarity between multivariate time-series. It is based on the psi measure described by Birks and Gordon (1985 <doi:10.1002/jqs.3390020110>), which computes dissimilarity between irregular time-series constrained by sample order. However, in this package 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.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: plyr, grDevices, foreach, parallel, doParallel, fields, viridis, RColorBrewer, data.table, iterators, arrangements
Suggests: devtools, formatR, kableExtra, magrittr, knitr, rmarkdown
Published: 2019-10-28
Author: Blas M. Benito
Maintainer: Blas M. Benito <blasbenito at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://blasbenito.github.io/distantia/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: distantia results

Downloads:

Reference manual: distantia.pdf
Package source: distantia_1.0.2.tar.gz
Windows binaries: r-devel: distantia_1.0.2.zip, r-devel-gcc8: distantia_1.0.2.zip, r-release: distantia_1.0.2.zip, r-oldrel: distantia_1.0.2.zip
OS X binaries: r-release: distantia_1.0.2.tgz, r-oldrel: distantia_1.0.2.tgz
Old sources: distantia archive

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