Author: Edgar Acuna<edgar@cs.uprm.edu>, and members of the CASTLE group at UPR-Mayaguez, Puerto Rico.
Description: Functions for normalization, handling of missing values,
discretization, outlier detection, feature selection, and
Packaged: Mon Apr 14 08:26:22 2008; edgar

Author: Edgar Acuna<edgar@cs.uprm.edu>, and members of the CASTLE group

Title: Data Pre-Processing and Visualization Functions for
Author: Edgar Acuna and the CASTLE research group at The University of Puerto Rico-Mayaguez
Description: Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.
Imports: MASS, e1071, class, nnet, rpart, FNN, StatMatch, rgl, methods

Title: Print Tabular Data to Graphics Device
Description: Provides a generalized method for printing tabular data within
the R environment in order to make the process of presenting high quality
tabular output seamless for the user.  Output is directed to the R graphics
device so that tables can be exported to any file format supported by the
graphics device. Utilizes a formula interface to specify the contents of
tables often found in manuscripts or business reports.  In addition, formula
interface provides inline formatting of the numeric cells of a table and

Title: Piecewise Linear Segmentation by Dynamic Programming
Authors@R: c(person("Rainer","Machne", role = c("aut", "cre"),
person("Peter F.", "Stadler", role = c("aut")))
Description: Piecewise linear segmentation of ordered data by a
dynamic programming algorithm. The algorithm was developed for time
series data, e.g. growth curves, and for genome-wide read-count data
from next generation sequencing, but is broadly applicable.
Generic implementations of dynamic programming routines allow
to scan for optimal segmentation parameters and test custom
Suggests: markdown, knitr, htmltools, RcppDynProg, microbenchmark,
Author: Rainer Machne [aut, cre] (<https://orcid.org/0000-0002-1274-5099>),