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authorRicardo Wurmus <rekado@elephly.net>2017-11-07 17:44:35 +0100
committerRicardo Wurmus <rekado@elephly.net>2017-11-07 23:32:46 +0100
commit14e5f6b20a1f08f1c6aaa06325ade9d8b1b0c4ee (patch)
treeba64677d7606a181bf5637012e3abd69b1ded657 /gnu/packages/statistics.scm
parent738dda8330539db9e1c3e1cafd9fc5b8ccd12219 (diff)
downloadpatches-14e5f6b20a1f08f1c6aaa06325ade9d8b1b0c4ee.tar
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gnu: r-fdrtool: Update description.
* gnu/packages/statistics.scm (r-fdrtool)[description]: Use "@dfn" syntax.
Diffstat (limited to 'gnu/packages/statistics.scm')
-rw-r--r--gnu/packages/statistics.scm22
1 files changed, 11 insertions, 11 deletions
diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm
index d6ab822472..9f4b705848 100644
--- a/gnu/packages/statistics.scm
+++ b/gnu/packages/statistics.scm
@@ -5435,17 +5435,17 @@ easy and fun.")
(home-page "http://strimmerlab.org/software/fdrtool/")
(synopsis "Estimation of false discovery rates and higher criticism")
(description
- "This package provides tools to estimate both tail area-based false
-discovery rates (Fdr) as well as local false discovery rates (fdr) for a
-variety of null models (p-values, z-scores, correlation coefficients,
-t-scores). The proportion of null values and the parameters of the null
-distribution are adaptively estimated from the data. In addition, the package
-contains functions for non-parametric density estimation (Grenander
-estimator), for monotone regression (isotonic regression and antitonic
-regression with weights), for computing the greatest convex minorant (GCM) and
-the least concave majorant (LCM), for the half-normal and correlation
-distributions, and for computing empirical higher criticism (HC) scores and
-the corresponding decision threshold.")
+ "This package provides tools to estimate tail area-based false discovery
+rates as well as local false discovery rates for a variety of null
+models (p-values, z-scores, correlation coefficients, t-scores). The
+proportion of null values and the parameters of the null distribution are
+adaptively estimated from the data. In addition, the package contains
+functions for non-parametric density estimation (Grenander estimator), for
+monotone regression (isotonic regression and antitonic regression with
+weights), for computing the @dfn{greatest convex minorant} (GCM) and the
+@dfn{least concave majorant} (LCM), for the half-normal and correlation
+distributions, and for computing empirical @dfn{higher criticism} (HC) scores
+and the corresponding decision threshold.")
(license license:gpl3+)))
(define-public r-forcats