nixo
/
guix-devel
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

gnu: r-fdrtool: Update description. 

* gnu/packages/statistics.scm (r-fdrtool)[description]: Use "@dfn" syntax.
This commit is contained in:
Ricardo Wurmus 2017-11-07 17:44:35 +01:00
parent 738dda8330
commit 14e5f6b20a
No known key found for this signature in database
GPG Key ID: 197A5888235FACAC
1 changed files with 11 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

22
gnu/packages/statistics.scm
View File

@ -5435,17 +5435,17 @@ easy and fun.")
(home-page "http://strimmerlab.org/software/fdrtool/") (home-page "http://strimmerlab.org/software/fdrtool/")
(synopsis "Estimation of false discovery rates and higher criticism") (synopsis "Estimation of false discovery rates and higher criticism")
(description (description
"This package provides tools to estimate both tail area-based false "This package provides tools to estimate tail area-based false discovery
discovery rates (Fdr) as well as local false discovery rates (fdr) for a rates as well as local false discovery rates for a variety of null
variety of null models (p-values, z-scores, correlation coefficients, models (p-values, z-scores, correlation coefficients, t-scores). The
t-scores). The proportion of null values and the parameters of the null proportion of null values and the parameters of the null distribution are
distribution are adaptively estimated from the data. In addition, the package adaptively estimated from the data. In addition, the package contains
contains functions for non-parametric density estimation (Grenander functions for non-parametric density estimation (Grenander estimator), for
estimator), for monotone regression (isotonic regression and antitonic monotone regression (isotonic regression and antitonic regression with
regression with weights), for computing the greatest convex minorant (GCM) and weights), for computing the @dfn{greatest convex minorant} (GCM) and the
the least concave majorant (LCM), for the half-normal and correlation @dfn{least concave majorant} (LCM), for the half-normal and correlation
distributions, and for computing empirical higher criticism (HC) scores and distributions, and for computing empirical @dfn{higher criticism} (HC) scores
the corresponding decision threshold.") and the corresponding decision threshold.")
(license license:gpl3+))) (license license:gpl3+)))
(define-public r-forcats (define-public r-forcats