SLOPE/DESCRIPTION at master · BioGenies/SLOPE · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
Package: SLOPE
Title: Sorted L1 Penalized Estimation
Version: 0.4.1.9000
Authors@R:
    c(
      person(
        "Johan",
        "Larsson",
        role = c("aut", "cre"),
        email = "johan.larsson@stat.lu.se",
        comment = c(ORCID = "0000-0002-4029-5945")
      ),
      person(
        "Jonas",
        "Wallin",
        role = "aut",
        email = "jonas.wallin@stat.lu.se",
        comment = c(ORCID = "0000-0003-0381-6593")
      ),
      person("Malgorzata", "Bogdan", role = "aut"),
      person("Ewout", "van den Berg", role = "aut"),
      person("Chiara", "Sabatti", role = "aut"),
      person("Emmanuel", "Candes", role = "aut"),
      person("Evan", "Patterson", role = "aut"),
      person("Weijie", "Su", role = "aut"),
      person(
        "Jerome",
        "Friedman",
        role = "ctb",
        comment = "code adapted from 'glmnet'"
      ),
      person(
        "Trevor",
        "Hastie",
        role = "ctb",
        comment = "code adapted from 'glmnet'"
      ),
      person(
        "Rob",
        "Tibshirani",
        role = "ctb",
        comment = "code adapted from 'glmnet'"
      ),
      person(
        "Balasubramanian",
        "Narasimhan",
        role = "ctb",
        comment = "code adapted from 'glmnet'"
      ),
      person(
        "Noah",
        "Simon",
        role = "ctb",
        comment = "code adapted from 'glmnet'"
      ),
      person(
        "Junyang",
        "Qian",
        role = "ctb",
        comment = "code adapted from 'glmnet'"
      ),
      person("Akarsh", "Goyal", role = "ctb"),
      person("Jakub", "Kała", role = "aut"),
      person("Krystyna", "Grzesiak", role = "aut"),
      person("Michal", "Burdukiewicz", comment = c(ORCID = "0000-0001-8926-582X"), role = "aut")
    )
Description: Efficient implementations for Sorted L-One Penalized Estimation
    (SLOPE): generalized linear models regularized with the sorted L1-norm
    (Bogdan et al. (2015) <doi:10/gfgwzt>). Supported models include ordinary
    least-squares regression, binomial regression, multinomial regression, and
    Poisson regression. Both dense and sparse  predictor matrices are supported.
    In addition, the package features predictor screening rules that enable fast
    and efficient solutions to high-dimensional problems.
License: GPL-3
LazyData: true
Depends:
    R (>= 3.3.0)
Imports:
    checkmate,
    foreach,
    ggplot2,
    glmnet,
    Matrix,
    methods,
    mice,
    Rcpp
LinkingTo:
    Rcpp,
    RcppArmadillo (>= 0.9.850.1.0)
Suggests:
    bench,
    caret,
    covr,
    dplyr,
    knitr,
    rmarkdown,
    scales,
    spelling,
    stringr,
    testthat (>= 2.1.0),
    tidyr,
    vdiffr
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Language: en-US
Encoding: UTF-8
URL: https://jolars.github.io/SLOPE/, https://github.com/jolars/SLOPE
BugReports: https://github.com/jolars/SLOPE/issues
VignetteBuilder: knitr