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# Copyright 2013-2024 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class RPtw(RPackage):
"""Parametric Time Warping.
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. A vignette for the latter is contained in the inst/doc
directory of the source package - the vignette source can be found on the
package github site."""
cran = "ptw"
license("GPL-2.0-or-later")
version("1.9-16", sha256="7e87c34b9eeaeabe3bfb937162e6cda4dd48d6bd6a97b9db8bb8303d131caa66")
version("1.9-15", sha256="22fa003f280bc000f46bca88d69bf332b29bc68435115ba8044533b70bfb7b46")
version("1.9-13", sha256="7855e74a167db3d3eba9df9d9c3daa25d7cf487cbcfe8b095f16d96eba862f46")
version("1.9-12", sha256="cdb1752e04e661e379f11867b0a17e2177e9ee647c54bbcc37d39d6b8c062b84")
depends_on("r-nloptr", type=("build", "run"))
depends_on("r-rcppde", type=("build", "run"), when="@1.9-16:")
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