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

Imports: ggplot2, lme4, Matrix, rrBLUP, stats

Description: 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
Packaged: Mon Jan  8 22:03:28 2007; rksh

Packaged: Thu Apr 12 22:43:31 2007; rksh

Packaged: Wed May  9 20:51:27 2007; rksh

Packaged: Mon Jun 11 06:42:59 2007; rksh

Packaged: Sun Sep  2 21:33:05 2007; rksh

sign.  The package includes a vignette that gives a step-by-step
Packaged: Wed Oct 10 19:44:09 2007; rksh

Packaged: Tue Aug 19 22:41:42 2008; rksh

Packaged: Fri Jan 16 18:20:21 2009; rksh

Packaged: Tue Feb 24 19:54:39 2009; rksh

sign.  The package includes a vignette that gives a
step-by-step introduction to using S4 methods.

Depends: R (>= 2.13.0), methods,graphics

Authors@R: person(given=c("Robin", "K. S."), family="Hankin", role = c("aut","cre"), email="hankin.robin@gmail.com", comment = c(ORCID = "0000-0001-5982-0415"))
Description: Very large numbers in R.  Real numbers are held
sign.  Functionality for complex numbers is also provided.  The
package includes a vignette that gives a step-by-step
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)

Author: Smruti Padhy, Rob Kooper, Yan Zhao
Description: 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.

Title: Bayesian analysis of quantile regression models.
Depends: R (>= 2.10), quantreg, truncnorm
Description: Bayesian estimation and variable selection for quantile

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

Description: Bayesian estimation and variable selection for quantile regression models.