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ramlegacy
View on CRAN: Click
here
Download and install ramlegacy package within the R console
Install from CRAN:
install.packages("ramlegacy")
Install from Github:
library("remotes")
install_github("cran/ramlegacy")
Install by package version:
library("remotes")
install_version("ramlegacy", "0.2.0")
Attach the package and use:
library("ramlegacy")
Maintained by
Kshitiz Gupta
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
https://ramlegacy.org/ . 10.32614/CRAN.package.ramlegacy . https://github.com/ropensci/ramlegacy/issues . https://github.com/ropensci/ramlegacy . ramlegacy citation info . ramlegacy results . ramlegacy.pdf . ramlegacy . ramlegacy_0.2.0.tar.gz . ramlegacy_0.2.0.zip . ramlegacy_0.2.0.zip . ramlegacy_0.2.0.zip . ramlegacy_0.2.0.tgz . ramlegacy_0.2.0.tgz . ramlegacy_0.2.0.tgz . ramlegacy_0.2.0.tgz . ramlegacy_0.2.0.tgz . ramlegacy_0.2.0.tgz . https://CRAN.R-project.org/package=ramlegacy .
First Published: 2019-05-16
Latest Update: 2019-05-16
Description:
Contains functions to download, cache and read in 'Excel' version of the
RAM Legacy Stock Assessment Data Base, an online compilation of stock assessment
results for commercially exploited marine populations from around the world.
The database is named after Dr. Ransom A. Myers whose original stock-recruitment database,
is no longer being updated. More information about the database can be found at
. Ricard, D., Minto, C., Jensen, O.P. and Baum, J.K. (2012) .
How to cite:
Kshitiz Gupta (2019). ramlegacy: Download and Read RAM Legacy Stock Assessment Database. R package version 0.2.0, https://cran.r-project.org/web/packages/ramlegacy. Accessed 27 Mar. 2025.
Previous versions and publish date:
No previous versions
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Other R packages that ramlegacy depends,
imports, suggests or enhances
Complete documentation for ramlegacy
Functions, R codes and Examples using
the ramlegacy R package
Some associated functions: download_ramlegacy . load_ramlegacy . ram_dir . ramlegacy-package .
Some associated R codes: download_ramlegacy.R . load_ramlegacy.R . ramlegacy-package.R . read_ramlegacy.R . style.R . utils.R . Full ramlegacy package functions and examples
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