GetR: Calculate Guttman error trees in R
The GetR package calculates Guttman error trees, which can
be used to find homogeneous subgroups regarding Guttman errors.

Get Data for Brazilian Bonds (Tesouro Direto)
Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <http://www.tesouro.fazenda.gov.br/tesouro-direto-balanco-e-estatisticas>.

stringr, stringi, readxl, utils, stats, curl, RCurl, XML,
bizdays, tidyr, rvest, xml2

Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <https://www.tesourodireto.com.br/>.
stringr, readxl, utils, stats, curl, bizdays, tidyr, rvest,
xml2, dplyr

Parsing command-line arguments by Perl module Getopt::Long.
It also provides a simple way for variable interpolation in R.

Parse command-line arguments and variable interpolation

Parsing Command-line Arguments and Variable Interpolation

Parsing Command-Line Arguments and Variable Interpolation
rjson, methods, GlobalOptions (>= 0.0.6)
This is yet another command-line argument parser which wraps the
powerful Perl module Getopt::Long and with some adaptation for easier use
in R. It also provides a simple way for variable interpolation in R.

rjson, GlobalOptions (>= 0.0.10), methods

rjson, GlobalOptions (>= 0.1.0), methods

Parsing Command-Line Arguments and Simple Variable Interpolation
rjson, GlobalOptions (>= 0.1.0), methods, crayon
This is a command-line argument parser which wraps the
powerful Perl module Getopt::Long and with some adaptations for easier use
in R. It also provides a simple way for variable interpolation in R.

testthat (>= 1.0.0), knitr, markdown, rmarkdown

Quantifying Evolution and Selection on Complex Traits
c(
person("Medhat", "Mahmoud", role = c("aut", "cre"), email = "medhat.mahmoud@gwdg.de"),
person("Ngoc-Thuy", "Ha" , role = "aut", email = "nha@gwdg.de"),
person("Timothy", "Beissinger", role = "aut", email = "beissinger@gwdg.de")
)
Functions are provided for quantifying evolution and selection on complex traits.
The package implements effective handling and analysis algorithms scaled for
genome-wide data and calculates a composite statistic, denoted Ghat, which is used
to test for selection on a trait. The package provides a number of simple examples
for handling and analysing the genome data and visualising the output and results.
Beissinger et al., (2018) <doi:10.1534/genetics.118.300857>.
Medhat Mahmoud [aut, cre],
Ngoc-Thuy Ha [aut],
Timothy Beissinger [aut]