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# Copyright 2013-2023 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 RVgam(RPackage):
"""Vector Generalized Linear and Additive Models.
An implementation of about 6 major classes of statistical regression
models. The central algorithm is Fisher scoring and iterative reweighted
least squares. At the heart of this package are the vector generalized
linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought
of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing.
The book "Vector Generalized Linear and Additive Models: With an
Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives
details of the statistical framework and the package. Currently only
fixed-effects models are implemented. Many (150+) models and distributions
are estimated by maximum likelihood estimation (MLE) or penalized MLE. The
other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs,
reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes
perform constrained and unconstrained quadratic ordination (CQO/UQO) models
in ecology, as well as constrained additive ordination (CAO). Hauck-Donner
effect detection is implemented. Note that these functions are subject to
change; see the NEWS and ChangeLog files for latest changes."""
cran = "VGAM"
version("1.1-8", sha256="d4c0f1d4e356d88ab6f39c05076ff97ebef6d20b7fbf1b0fa31d40c73d0ad1cc")
version("1.1-7", sha256="a4c52d392332477eac557c84b732f3c03dd48f75db3884e23c71cf99d991757e")
version("1.1-6", sha256="446a61bac5dd4794e05d20c2f3901eec54afac52c6e23ce2787c5575170dd417")
version("1.1-5", sha256="30190b150f3e5478137d288a45f575b2654ad7c29254b0a1fe5c954ee010a1bb")
version("1.1-1", sha256="de192bd65a7e8818728008de8e60e6dd3b61a13616c887a43e0ccc8147c7da52")
version("1.0-6", sha256="121820a167411e847b41bdcb0028b55842d0ccc0c3471755c67449837e0fe3b9")
version("1.0-4", sha256="e581985f78ef8b866d0e810b2727061bb9c9bc177b2c9090aebb3a35ae87a964")
version("1.0-3", sha256="23bb6690ae15e9ede3198ef55d5d3236c279aa8fa6bd4f7350242379d9d72673")
version("1.0-2", sha256="03561bf484f97b616b1979132c759c5faa69c5d5a4cfd7aea2ea6d3612ac0961")
version("1.0-1", sha256="c066864e406fcee23f383a28299dba3cf83356e5b68df16324885afac87a05ea")
version("1.0-0", sha256="6acdd7db49c0987c565870afe593160ceba72a6ca4a84e6da3cf6f74d1fa02e1")
depends_on("r@3.0.0:", type=("build", "run"))
depends_on("r@3.1.0:", type=("build", "run"), when="@1.0-2:")
depends_on("r@3.4.0:", type=("build", "run"), when="@1.0-4:")
depends_on("r@3.5.0:", type=("build", "run"), when="@1.1-5:")
depends_on("r@4.0.0:", type=("build", "run"), when="@1.1-8:")
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