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.
master
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/")
(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