Orphaned and corrected on 2018-06-09 as check errors
were ignored despite reminders.

Use of uninitialized memory, major leaks detected by valgrind.
fflush(stdin) is undefined behaviour (or pointless in POSIX
2008).

Sebastian Kaiser, Rodrigo Santamaria, Tatsiana Khamiakova,
Martin Sill, Roberto Theron, Luis Quintales, Friedrich
Leisch, Ewoud De Troyer and Sami Leon.

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")))
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. (2019) Biclustering for Missing Data. Information
Sciences, Submitted.
John Reisner [cre, aut, cph],
Hieu Pham [ctb, cph],
Jing Li [ctb, cph]

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.

Reduction algorithm for the NPMLE for the distribution function of
bivariate interval-censored data
The main function is HMA, the HeightMapAlgorithm. This algorithm
is based on the idea of an 'height map', and is described in the following paper:
"Reduction algorithm for the NPMLE for the distribution function of
bivariate interval-censored data", by Marloes Maathuis, Journal of Computational
and Graphical Statistics, Volume 14, Number 2 (to appear).