Manipulate Date, POSIXct and hms Vectors
c(person(given = "Joe",
family = "Thorley",
role = c("aut", "cre"),
email = "joe@poissonconsulting.ca",
comment = c(ORCID = "0000-0002-7683-4592")),
person(given = "Poisson Consulting",
role = c("cph", "fnd")))
Manipulates date ('Date'), date time ('POSIXct') and
time ('hms') vectors.  Date/times are considered discrete and are
floored whenever encountered.  Times are wrapped and time zones are
maintained unless explicitly altered by the user.

Manipulates date ('Date'), date time ('POSIXct') and time
('hms') vectors.  Date/times are considered discrete and are floored
whenever encountered.  Times are wrapped and time zones are maintained
unless explicitly altered by the user.

c(
person("Joe", "Thorley", , "joe@poissonconsulting.ca", role = "aut",
comment = c(ORCID = "0000-0002-7683-4592")),
person("Ayla", "Pearson", , "ayla@poissonconsulting.ca", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-7388-1222")),
person("Poisson Consulting", role = c("cph", "fnd"))
)
Joe Thorley [aut] (<https://orcid.org/0000-0002-7683-4592>),
Ayla Pearson [aut, cre] (<https://orcid.org/0000-0001-7388-1222>),
Poisson Consulting [cph, fnd]

Dirk Eddelbuettel and Leonardo Silvestri
High-frequency time-series support via 'nanotime' and 'data.table'.
nanotime, data.table, methods, bit64, Rcpp (>= 0.11.5),
RcppCCTZ (>= 0.2.0)

Toni Giorgino <toni.giorgino@unipv.it>, with
contributions from Paolo Tormene <paolo.tormene@gmail.com>
Implementation of Dynamic Time Warp (DTW) and its
generalizations. DTW finds the optimal mapping (local
time stretch) between a given query into a given template
time series. Implements symmetric, asymmetric, and custom
step patterns with weights. Supports windowing (none,
itakura, sakoe-chiba, custom).  DTW outputs minimum
cumulative distance, warping paths, etc.

Toni Giorgino <toni.giorgino@unipv.it>,
Paolo Tormene <paolo.tormene@gmail.com>
Implementation of Dynamic Time Warp (DTW) and its
generalizations. DTW finds the optimal mapping (local
time stretch) between a given query into a given template
time series. Implements symmetric, asymmetric, and custom
step patterns with weights. Supports windowing (none,
itakura, sakoe-chiba, custom).  Package provides minimum
cumulative distance, warping paths, plots, etc.