Access the 'Public Transport Victoria' Timetable API
person(given = "David",
family = "Neuzerling",
role = c("aut", "cre", "cph"),
email = "david@neuzerling.com")
Access the 'Public Transport Victoria' Timetable API
<https://www.ptv.vic.gov.au/footer/data-and-reporting/datasets/ptv-timetable-api/>,
with results returned as familiar R data structures. Retrieve information on
stops, routes, disruptions, departures, and more.
httr, glue, digest, jsonlite, purrr, tibble, assertthat

Jan Gerretzen <j.gerretzen@science.ru.nl>, Paul Eilers
<p.eilers@erasmusmc.nl>, Hans Wouters
<h.wouters@science.ru.nl>, Tom Bloemberg
<t.bloemberg@science.ru.nl> and Ron Wehrens
<r.wehrens@science.ru.nl>
Tom Bloemberg <t.bloemberg@science.ru.nl>, Ron Wehrens
<r.wehrens@science.ru.nl>
Parametric Time Warping aligns patterns, i.e. it aims to
put corresponding features at the same locations. The algorithm
searches for an optimal polynomial describing the warping. It
is possible to align one sample to a reference, several samples
to the same reference, or several samples to several
references. One can choose between calculating individual
warpings, or one global warping for a set of samples and one
reference. Two optimization criteria are implemented: RMS (Root
Mean Square error) and WCC (Weighted Cross Correlation).

Jan Gerretzen <j.gerretzen@science.ru.nl>, Paul Eilers
<p.eilers@erasmusmc.nl>, Hans Wouters, Tom Bloemberg
<t.bloemberg@science.ru.nl> and Ron Wehrens
<ron.wehrens@fmach.it>

Jan Gerretzen <j.gerretzen@science.ru.nl>, Paul Eilers
<p.eilers@erasmusmc.nl>, Hans Wouters, Tom Bloemberg
<t.bloemberg@science.ru.nl>, Ron Wehrens <ron.wehrens@fmach.it>
and The R Development Core Team

Copyright for the file src/approx.c is detailed in
inst/COPYRIGHT

Jan Gerretzen <j.gerretzen@science.ru.nl>, Paul Eilers
<p.eilers@erasmusmc.nl>, Hans Wouters, Tom Bloemberg
<t.bloemberg@science.ru.nl>, Ron Wehrens <ron.wehrens@gmail.com>
Parametric Time Warping aligns patterns, i.e. it aims to
put corresponding features at the same locations. The algorithm
searches for an optimal polynomial describing the warping. It
is possible to align one sample to a reference, several samples
to the same reference, or several samples to several
references. One can choose between calculating individual
warpings, or one global warping for a set of samples and one
reference. Two optimization criteria are implemented: RMS (Root
Mean Square error) and WCC (Weighted Cross Correlation). Both
warping of peak profiles and of peak lists are supported.