Package: biclustermd
Type: Package
Title: Biclustering with Missing Data
Version: 0.2.3
Authors@R: c(
    person("John", "Reisner", email = "johntreisner@gmail.com", role = c("cre", "aut", "cph")),
    person("Hieu", "Pham", email = "phieu93@gmail.com", role = c("ctb", "cph")),
    person("Jing", "Li", email = "jingli2014cymail@gmail.com", role = c("ctb", "cph")))
Maintainer: John Reisner <johntreisner@gmail.com>
Description: Biclustering is a statistical learning technique that simultaneously 
    partitions and clusters rows and columns of a data matrix. Since the solution 
    space of biclustering is in infeasible to completely search with current 
    computational mechanisms, this package uses a greedy heuristic. The algorithm 
    featured in this package is, to the best our knowledge, the first biclustering 
    algorithm to work on data with missing values. Li, J., Reisner, J., Pham, H., 
    Olafsson, S., and Vardeman, S. (2020) Biclustering with Missing Data. Information 
    Sciences, 510, 304–316.
URL: https://github.com/jreisner/biclustermd
BugReports: https://github.com/jreisner/biclustermd/issues
Depends: ggplot2 (>= 3.0.0), R (>= 3.5.0), tidyr (>= 0.8.1)
Imports: biclust (>= 2.0.1), doParallel (>= 1.0.14), dplyr (>= 0.7.6),
        foreach (>= 1.4.4), magrittr (>= 1.5), nycflights13 (>= 1.0.0),
        phyclust (>= 0.1-24)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-17 14:40:03 UTC; johnreisner
Author: John Reisner [cre, aut, cph],
  Hieu Pham [ctb, cph],
  Jing Li [ctb, cph]
Repository: CRAN
Date/Publication: 2021-06-17 15:10:06 UTC
Built: R 4.1.3; ; 2023-04-17 18:24:49 UTC; windows
