The M statistic aggregates heterogeneity information across multiple
at individual variants, M measures systematic (non-random)

Suggests: foreign (>= 0.8-62), knitr (>= 1.10.5), testthat

Suggests: foreign (>= 0.8-62), knitr (>= 1.10.5), testthat, covr

Suggests: foreign (>= 0.8-62), knitr (>= 1.10.5), testthat, covr,

Description: Use this with Rscript to write ``#!'' shebang scripts that accept short and long flags/options.
Packaged: Sat Apr 12 00:03:41 2008; allenday

Packaged: Tue Apr 15 13:22:05 2008; allenday

Packaged: Tue Apr 22 16:41:54 2008; allenday

Packaged: Wed Apr 30 02:13:57 2008; allenday

Description: Use this with Rscript to write ``#!'' shebang scripts that

Author: Allen Day Contributions from Trevor L Davis
Description: Package designed to be used with Rscript to write ``#!''
shebang scripts that accept short and long flags/options.  Many
users will prefer using instead the package optparse which adds
extra features (automatically generated help option and usage,
support for default values, basic positional argument support).

Description: Package designed to be used with Rscript to write
``#!'' shebang scripts that accept short and long flags/options.
Many users will prefer using instead the packages optparse or argparse
which add extra features like automatically generated help option and usage,
support for default values, positional argument support, etc.

Contributions from Trevor L Davis and Roman Zenka.

person("Allen", "Day", role="aut", comment="Original package author"),
Allen Day [aut] (Original package author),

Title: Obtain a List of Publications from 'PubMed' and 'Google Scholar'
all of the published information from the search page. Then placing it
Imports: dplyr, magrittr, rvest, stringr, tibble, tidyr, xml2

Description: Automated multi-path General-to-Specific (GETS) model selection of either an AR-X model with log-ARCH-X errors, or a log-ARCH-X model of the log-variance. The three main functions of the package are arx, getsm and getsv. The first function estimates an AR-X model with log-ARCH-X errors. The second function undertakes GETS model selection of the mean specification of an arx object, whereas the third function undertakes GETS model selection of the log-variance specification of an arx object.