Ravenports generated: 10 Feb 2024 22:55
[ravenports.git] / bucket_DC / R-eddington
1 # Buildsheet autogenerated by ravenadm tool -- Do not edit.
2
3 NAMEBASE=               R-eddington
4 VERSION=                4.1.3
5 KEYWORDS=               cran
6 VARIANTS=               standard
7 SDESC[standard]=        Compute a Cyclist's Eddington Number
8 HOMEPAGE=               https://github.com/pegeler/eddington2
9 CONTACT=                CRAN_Automaton[cran@ironwolf.systems]
10
11 DOWNLOAD_GROUPS=        main
12 SITES[main]=            CRAN/src/contrib
13                         https://loki.dragonflybsd.org/cranfiles/
14 DISTFILE[1]=            eddington_4.1.3.tar.gz:main
15 DIST_SUBDIR=            CRAN
16 DF_INDEX=               1
17 SPKGS[standard]=        single
18
19 OPTIONS_AVAILABLE=      none
20 OPTIONS_STANDARD=       none
21
22 BUILDRUN_DEPENDS=       R-Rcpp:single:standard
23                         R-R6:single:standard
24                         R-XML:single:standard
25
26 USES=                   cran gmake
27
28 DISTNAME=               eddington
29
30 GENERATED=              yes
31
32 INSTALL_REQ_TOOLCHAIN=  yes
33
34 [FILE:1122:descriptions/desc.single]
35 eddington: Compute a Cyclist's Eddington Number
36
37 Compute a cyclist's Eddington number, including efficiently computing
38 cumulative E over a vector. A cyclist's Eddington number &lt;<a
39 href="https://en.wikipedia.org/wiki/Arthur_Eddington#Eddington_number_for_cycling"
40 target="_top">https://en.wikipedia.org/wiki/Arthur_Eddington#Eddington_number_for_cycling</a>&gt;
41 is the maximum number satisfying the condition such that a cyclist has
42 ridden E miles or greater on E distinct days. The algorithm in this package
43 is an improvement over the conventional approach because both summary
44 statistics and cumulative statistics can be computed in linear time, since
45 it does not require initial sorting of the data. These functions may also
46 be used for computing h-indices for authors, a metric described by Hirsch
47 (2005) &lt;<a href="https://doi.org/10.1073%2Fpnas.0507655102"
48 target="_top">doi:10.1073/pnas.0507655102</a>&gt;. Both are specific
49 applications of computing the side length of a Durfee square &lt;<a
50 href="https://en.wikipedia.org/wiki/Durfee_square"
51 target="_top">https://en.wikipedia.org/wiki/Durfee_square</a>&gt;.
52
53
54 [FILE:106:distinfo]
55 4e495c62d32d66f07a92a1015380790cca76003ec4524247e7489d8b70a304c4        79644 CRAN/eddington_4.1.3.tar.gz
56