broom, checkmate, dplyr, Hmisc (>= 3.14-6), htmltools, knitr,
lazyWeave, magrittr, stringr, tidyr

The introduction of the 'broom' package has made converting model
objects into data frames as simple as a single function. While the 'broom'
package focuses on providing tidy data frames that can be used in advanced
analysis, it deliberately stops short of providing functionality for reporting
models in publication-ready tables. 'pixiedust' provides this functionality with
a programming interface intended to be similar to 'ggplot2's system of layers
with fine tuned control over each cell of the table. Options for output include
printing to the console and to the common markdown formats (markdown, HTML, and
LaTeX). With a little 'pixiedust' (and happy thoughts) tables can really fly.

broom, checkmate (>= 1.8.0), dplyr, Hmisc (>= 3.14-6),
htmltools, knitr, magrittr, scales, stringr, tidyr

c(person("Benjamin", "Nutter", email = "nutter@battelle.org", role = c("aut", "cre")),
person("David", "Kretch", role = c("ctb")))
Benjamin Nutter [aut, cre],
David Kretch [ctb]

c(person("Benjamin", "Nutter", email = "benjamin.nutter@gmail.com", role = c("aut", "cre")),
person("David", "Kretch", role = c("ctb")))
broom, checkmate (>= 1.8.0), dplyr, htmltools, knitr,
labelVector, magrittr, scales, tidyr

broom, checkmate (>= 1.8.0), htmltools, knitr, labelVector,
magrittr, reshape2, scales

Functions for import, export, plotting and other
manipulations of bitmapped images.

Roger Bivand, Friedrich Leisch and Martin Mächler
AAA.R pixmap.R addlogo.R pnmhead.R pnm.R

Roger Bivand, Friedrich Leisch and Martin Maechler

A complete statistical analysis of MALDI-TOF Mass Spectrometry
Proteomics data
PROcess, plyr, ROCR, randomForest, caMassClass
Juliet Ndukum <jpntsang@gmail.com>, Mourad Atlas
<mourad.atlas@gmail.com>, Susmita Datta <susmdatta@gmail.com>
The package pkDACLASS provides unique monoisotopic peaks
of peptides. It will align the detected monoisotopic peaks from
multiple samples and classify the samples with these peaks and
report the classification accuracy.