The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

portn: Portfolio Analysis for Nature

The functions are designed to find the efficient mean-variance frontier or portfolio weights for static portfolio (called Markowitz portfolio) analysis in resource economics or nature conservation. Using the nonlinear programming solver ('Rsolnp'), this package deals with the quadratic minimization of the variance-covariances without shorting (i.e., non-negative portfolio weights) studied in Ando and Mallory (2012) <doi:10.1073/pnas.1114653109>. See the examples, testing versions, and more details from: <https://github.com/ysd2004/portn>.

Version: 1.0.0
Depends: R (≥ 4.0.0), Rsolnp
Published: 2023-08-14
Author: Seong Yun [aut, cre]
Maintainer: Seong Yun <seong.yun at msstate.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ysd2004/portn
NeedsCompilation: no
CRAN checks: portn results

Documentation:

Reference manual: portn.pdf

Downloads:

Package source: portn_1.0.0.tar.gz
Windows binaries: r-devel: portn_1.0.0.zip, r-release: portn_1.0.0.zip, r-oldrel: portn_1.0.0.zip
macOS binaries: r-release (arm64): portn_1.0.0.tgz, r-oldrel (arm64): portn_1.0.0.tgz, r-release (x86_64): portn_1.0.0.tgz, r-oldrel (x86_64): portn_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=portn to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.