Title: Time Series Clustering Along with Optimizations for the Dynamic
Depends: R (>= 3.2.0), proxy, dtw, ggplot2, rngtools
Description: Time series clustering along with optimized techniques related
to the Dynamic Time Warping distance and its corresponding lower bounds.

Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole
clustering are available. Functionality can be easily extended with
custom distance measures and centroid definitions.

Imports: stats, utils, methods, parallel, rngtools, flexclust, caTools,
Suggests: TSdist, TSclust, doParallel, testthat, knitr
Collate: 'DBA.R' 'NCCc.R' 'SBD.R' 'TADPole.R' 'all_cent.R' 'cvi.R'

Imports: methods, parallel, stats, utils, caTools, flexclust, foreach,
Collate: 'DBA.R' 'NCCc.R' 'SBD.R' 'TADPole.R' 'all-cent.R' 'cvi.R'

Depends: R (>= 3.2.0), proxy (>= 0.4-16), clue, dtw, ggplot2
Suggests: TSdist, TSclust, cluster, doParallel, testthat, knitr
Collate: 'DBA.R' 'GAK.R' 'NCCc.R' 'SBD.R' 'TADPole.R' 'all-cent.R'
'create-dtwclust.R' 'cvi.R' 'ddist.R' 'dtw-basic.R' 'dtw-lb.R'

'ddist.R' 'ddist2.R' 'dtw-basic.R' 'dtw-lb.R' 'dtw2.R'

Depends: R (>= 3.2.0), methods, proxy (>= 0.4-16), clue, dtw, ggplot2
Imports: parallel, stats, utils, caTools, flexclust, foreach, plyr,

Imports: parallel, stats, utils, flexclust, foreach, Matrix, plyr,
Collate: 'DBA.R' 'Distmat.R' 'GAK.R' 'NCCc.R' 'SBD.R' 'SparseDistmat.R'
'create-dtwclust.R' 'cvi.R' 'ddist.R' 'ddist2.R' 'dtw-basic.R'

Imports: parallel, stats, utils, bigmemory, flexclust, foreach, Matrix,
plyr, RSpectra, Rcpp, reshape2, rngtools
LinkingTo: BH, bigmemory, Rcpp, RcppArmadillo
custom distance measures and centroid definitions. Implementations of
DTW barycenter averaging and a distance based on global alignment kernels
are also provided. Several cluster validity indices are included.
Collate: 'DBA.R' 'Distmat.R' 'GAK.R' 'NCCc.R' 'SBD.R' 'utils.R' 'pkg.R'

Suggests: TSdist, TSclust, cluster, doParallel, knitr, rmarkdown,
are also provided. All included distance functions have custom loops
optimized for the calculation of cross-distance matrices, including
parallelization support. Several cluster validity indices are included.
'create-dtwclust.R' 'cvi.R' 'data.R' 'ddist.R' 'ddist2.R'