From 14e5f6b20a1f08f1c6aaa06325ade9d8b1b0c4ee Mon Sep 17 00:00:00 2001 From: Ricardo Wurmus Date: Tue, 7 Nov 2017 17:44:35 +0100 Subject: [PATCH] gnu: r-fdrtool: Update description. * gnu/packages/statistics.scm (r-fdrtool)[description]: Use "@dfn" syntax. --- gnu/packages/statistics.scm | 22 +++++++++++----------- 1 file 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