Rcpp, snowfall, stats, ggplot2, lme4, rrBLUP, Matrix

Handles very large numbers in R.  Real numbers are held
using their natural logarithms, plus a logical flag indicating
sign. The package includes a vignette that gives a step-by-step
introduction to using S4 methods.

Handles very large numbers in R.  Real numbers are held
using their natural logarithms, plus a logical flag indicating
sign.  The package includes a vignette that gives a step-by-step
introduction to using S4 methods.

Handles very large numbers in R.  Real numbers are held
using their natural logarithms, plus a logical flag indicating
sign.  The package includes a vignette that gives a
step-by-step introduction to using S4 methods.

person(given=c("Robin", "K. S."), family="Hankin", role = c("aut","cre"), email="hankin.robin@gmail.com", comment = c(ORCID = "0000-0001-5982-0415"))
Very large numbers in R.  Real numbers are held
using their natural logarithms, plus a logical flag indicating
sign.  Functionality for complex numbers is also provided.  The
package includes a vignette that gives a step-by-step
introduction to using S4 methods.

An R interface for the Brown Dog which allows researchers to leverage Brown Dog Services
that provides modules to identify the conversion options for a file, to convert file to appropriate
format, or to extract data from a file. See <http://browndog.ncsa.illinois.edu/> for more information.

Bayesian analysis of quantile regression models.
Bayesian estimation and variable selection for quantile
regression models.

Bayesian Analysis of Quantile Regression Models
Rahim Alhamzawi  (University of Al-Qadisiyah) <rahim.alhamzawi@qu.edu.iq>

Bayesian estimation and variable selection for quantile regression models.

Normalisation Tools for Inter-Condition Variability of ChIP-Seq
Data
Inter-sample condition variability is a key challenge of normalising ChIP-seq data. This implementation uses either spike-in or a second factor as a control for normalisation. Input can either be from 'DiffBind' or a matrix formatted for 'DESeq2'. The output is either a 'DiffBind' object or the default 'DESeq2' output. Either can then be processed as normal. Supporting manuscript Guertin, Markowetz and Holding (2017) <doi:10.1101/182261>.
DiffBind, Rsamtools, DESeq2, lattice, stats, utils, graphics