SLOPE/DESCRIPTION at main · jolars/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
110
111
112
113
Package: SLOPE
Title: Sorted L1 Penalized Estimation
Version: 2.0.0.9000
Authors@R:
    c(
      person(
        "Johan",
        "Larsson",
        role = c("aut", "cre"),
        email = "johan@jolars.co",
        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",
        comment = c(ORCID = "0000-0002-0657-4342")
      ),
      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("Jakub", "Kała", role = "aut"),
      person("Krystyna", "Grzesiak", role = "aut"),
      person("Mathurin", "Massias", role = "aut"),
      person("Quentin", "Klopfenstein", role = "aut"),
      person(
        "Michal",
        "Burdukiewicz",
        comment = c(ORCID = "0000-0001-8926-582X"),
        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'"
      )
    )
Description: Efficient implementations for Sorted L-One Penalized Estimation
    (SLOPE): generalized linear models regularized with the sorted L1-norm
    (Bogdan et al. 2015). 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 (>= 3.5.0)
Imports:
    Matrix,
    methods,
    Rcpp
LinkingTo:
    Rcpp,
    RcppEigen (>= 0.3.4.0.0),
    BH,
    bigmemory
Suggests:
    covr,
    knitr,
    rmarkdown,
    spelling,
    testthat (>= 2.1.0),
    bigmemory
SystemRequirements: C++17
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
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