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-rw-r--r--var/spack/repos/builtin/packages/r-pmcmr/package.py26
1 files changed, 10 insertions, 16 deletions
diff --git a/var/spack/repos/builtin/packages/r-pmcmr/package.py b/var/spack/repos/builtin/packages/r-pmcmr/package.py
index 46d361f904..147c4f059f 100644
--- a/var/spack/repos/builtin/packages/r-pmcmr/package.py
+++ b/var/spack/repos/builtin/packages/r-pmcmr/package.py
@@ -7,24 +7,18 @@ from spack import *
class RPmcmr(RPackage):
- """The Kruskal and Wallis one-way analysis of variance by ranks or van
- der Waerden's normal score test can be employed, if the data do not
- meet the assumptions for one-way ANOVA. Provided that significant
- differences were detected by the omnibus test, one may be interested
- in applying post-hoc tests for pairwise multiple comparisons (such as
- Nemenyi's test, Dunn's test, Conover's test, van der Waerden's test).
- Similarly, one-way ANOVA with repeated measures that is also referred
- to as ANOVA with unreplicated block design can also be conducted via
- the Friedman-Test or the Quade-test. The consequent post-hoc pairwise
- multiple comparison tests according to Nemenyi, Conover and Quade are
- also provided in this package. Finally Durbin's test for a two-way
- balanced incomplete block design (BIBD) is also given in this
- package."""
+ """Calculate Pairwise Multiple Comparisons of Mean Rank Sums.
- homepage = "https://cloud.r-project.org/package=PMCMR"
- url = "https://cloud.r-project.org/src/contrib/PMCMR_4.1.tar.gz"
- list_url = "https://cloud.r-project.org/src/contrib/Archive/PMCMR"
+ Note, that the 'PMCMR' package is superset by the novel 'PMCMRplus'
+ package. The 'PMCMRplus' package contains all functions from 'PMCMR' and
+ many more parametric and non-parametric multiple comparison procedures,
+ one-factorial trend tests, as well as improved method functions, such as
+ print, summary and plot. The 'PMCMR' package is no longer maintained, but
+ kept for compatibility of reverse depending packages for some time."""
+ cran = "PMCMR"
+
+ version('4.4', sha256='e7b4d9d595a879a62c9b3bb44c1f95432ad75a6607f84ce6bfc6395fee1dc116')
version('4.3', sha256='328a2880dd614dc412e8dca21d29ed9d5eea29ccbe0eff98c8068100856c7b25')
version('4.1', sha256='6c164e2976c59ddd27297433a34fa61b1e70b9e26265abdf9c8af1b639d2d555')