Welcome to the Bering repository, containing the production-ready version of the R package Bering
. Using Monte Carlo and Markov chain Monte Carlo, this package conducts hypothesis tests for the time-series climate data presented by Karla Knudson, Christina Ravelo, Ivano Aiello, Christina Knudson, Michelle Drake, and Tatsuhiko Sakamoto.
- R:
R
package code. - man: package documentation and usage of the
Bering
package on real and simulated data examples. - data: data included in the
Bering
package.
The Bering
package requires no special hardware. Because the Bering
package simulates data sets, computers with greater RAM will complete the analyses more quickly. However, a 'normal' computer should suffice: the analyses were initially completed using a 500 USD netbook purchased in 2012.
The Bering
package was developed and tested on Ubuntu using version 3.4.3 of R. Additional testing was performed using Windows using version 3.4.3 of R. The package should be compatible with Windows, Mac, and Linux operating systems.
Before installing the Bering
package, users should have downloaded and installed R
version 3.1.1 or higher from from CRAN. Installing R should take 2 to 3 minutes and installing the Bering package should take 1 to 2 minutes.
This package will soon be available on CRAN. In the meantime, the devtools
package enables users to install packages directly from GitHub. Once devtools
is installed, type the following:
library(devtools)
install_github("knudson1/Bering/Bering")
library(Bering)
Detailed directions can be found online in many places, including this source.
Examples are provided in the vignettes folder. The results of the code are displayed in the pdf versions of the files.
The license for Bering
is GPL-3.
Pseudocode is included in each .R file in R. A detailed description of the code's functionality is also in the methods section of the manuscript (under review).