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authorGlenn Johnson <glenn-johnson@uiowa.edu>2021-01-17 11:20:38 -0600
committerGitHub <noreply@github.com>2021-01-17 11:20:38 -0600
commitef9a0ed08d3970948a84d615ab96937f61549d29 (patch)
treedbbbce8a038ae17a92c236e432e29863198b8df6
parent679f6b3dfc473c1d8eb11a0ef507b897aa5c1461 (diff)
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add version 1.8-33 to r-mgcv (#21097)
-rw-r--r--var/spack/repos/builtin/packages/r-mgcv/package.py14
1 files changed, 10 insertions, 4 deletions
diff --git a/var/spack/repos/builtin/packages/r-mgcv/package.py b/var/spack/repos/builtin/packages/r-mgcv/package.py
index e75a8dd7c4..cfc07d7404 100644
--- a/var/spack/repos/builtin/packages/r-mgcv/package.py
+++ b/var/spack/repos/builtin/packages/r-mgcv/package.py
@@ -7,15 +7,21 @@ from spack import *
class RMgcv(RPackage):
- """GAMs, GAMMs and other generalized ridge regression with multiple
- smoothing parameter estimation by GCV, REML or UBRE/AIC. Includes a gam()
- function, a wide variety of smoothers, JAGS support and distributions
- beyond the exponential family."""
+ """Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
+
+ Generalized additive (mixed) models, some of their extensions and other
+ generalized ridge regression with multiple smoothing parameter estimation
+ by (Restricted) Marginal Likelihood, Generalized Cross Validation and
+ similar, or using iterated nested Laplace approximation for fully Bayesian
+ inference. See Wood (2017) <doi:10.1201/9781315370279> for an overview.
+ Includes a gam() function, a wide variety of smoothers, 'JAGS' support and
+ distributions beyond the exponential family."""
homepage = "https://cloud.r-project.org/package=mgcv"
url = "https://cloud.r-project.org/src/contrib/mgcv_1.8-16.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/mgcv"
+ version('1.8-33', sha256='98cb7bac928e2c9564091a9af31e5d309305c6c5fcf96e8429c08925fe6f2bf4')
version('1.8-28', sha256='b55ea8227cd5c263c266c3885fa3299aa6bd23b54186517f9299bf38a7bdd3ea')
version('1.8-27', sha256='c88b99fb518decd7e9cd17a4c267e74f98a78172f056784194b5b127ca0f7d1b')
version('1.8-22', sha256='d4af7767e097ebde91c61d5ab4c62975dcb6b4ed6f545c09f5276a44ebc585cf')