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| author | Ricardo Wurmus <rekado@elephly.net> | 2017-11-07 17:44:35 +0100 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2017-11-07 23:32:46 +0100 |
| commit | 14e5f6b20a1f08f1c6aaa06325ade9d8b1b0c4ee (patch) | |
| tree | ba64677d7606a181bf5637012e3abd69b1ded657 /gnu | |
| parent | 738dda8330539db9e1c3e1cafd9fc5b8ccd12219 (diff) | |
| download | patches-14e5f6b20a1f08f1c6aaa06325ade9d8b1b0c4ee.tar patches-14e5f6b20a1f08f1c6aaa06325ade9d8b1b0c4ee.tar.gz | |
gnu: r-fdrtool: Update description.
* gnu/packages/statistics.scm (r-fdrtool)[description]: Use "@dfn" syntax.
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/statistics.scm | 22 |
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 |