-
Notifications
You must be signed in to change notification settings - Fork 14
/
DESCRIPTION
56 lines (56 loc) · 1.88 KB
/
DESCRIPTION
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
Package: clustRviz
Type: Package
Title: Convex Clustering and Bi-Clustering via Algorithmic Regularization
Version: 0.1.0
Authors@R: c(
person("Michael", "Weylandt", role = c("aut", "cre"), email = "michael.weylandt@rice.edu"),
person("John", "Nagorski", role = "aut", email = "jn13@rice.edu"),
person("Genevera", "Allen", role = c("ths", "aut"), email = "gallen@rice.edu"),
person("Lewis", "Brian W.", role = "cph", comment = "R/util_hcs.R"),
person("Daniel", "Englund", role = "aut", email = "dse1@rice.edu"),
person("Yue", "Zhuo", role = "aut", email = "yz154@rice.edu"))
Description: Fast computation and interactive for the convex clustering and
bi-clustering problems. The CARP and CBASS algorithms use an
algorithmic regularization scheme to obtain high-quality global
approximations of the exact regularization paths in a fraction of
the time required for exact solutions. The CARP-VIZ and CBASS-VIZ
variants include a back-tracking scheme to ensure exact dendrogram
recovery. For more details, see "Dynamic Visualization and Fast Computation
for Convex Clustering and Bi-Clustering" by M. Weylandt, J. Nagorski, and G.I. Allen,
ArXiv 1901.01477 <arXiv:1901.01477>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports:
stats,
graphics,
dplyr,
tibble,
ggplot2,
rlang,
tidyr,
purrr,
Matrix,
stringr,
zoo,
dendextend,
gtools,
ggrepel,
RColorBrewer,
heatmaply,
gganimate,
plotly,
missForest,
grid
LinkingTo: Rcpp, RcppEigen
Suggests: testthat,
knitr,
rmarkdown,
MASS,
covr,
cvxclustr,
cvxbiclustr
VignetteBuilder: knitr
BugReports: https://github.com/DataSlingers/clustRviz/issues
URL: https://github.io/DataSlingers/clustRviz, https://github.com/DataSlingers/clustRviz