We provide an R interface to 'OpenML.org' which is an online machine learning platform where researchers can access open data, download and upload data sets, share their machine learning tasks and experiments and organize them online to work and collaborate with other researchers. 
    The R interface allows to query for data sets with specific properties, and allows the downloading and uploading of data sets, tasks, flows and runs. 
    See <https://www.openml.org/guide/api> for more information.

A programmatic interface to the 'OpenM++' microsimulation platform (<https://openmpp.org>).
    The primary goal of this package is to wrap the 'OpenM++' Web Service (OMS) to
    provide 'OpenM++' users a programmatic interface for the R language.

The 'openMSE' package is designed for building operating models, 
    doing simulation modelling and management strategy evaluation for fisheries.
    'openMSE' is an umbrella package for the 'MSEtool' (Management Strategy Evaluation
    toolkit), 'DLMtool' (Data-Limited Methods toolkit), and 
    SAMtool (Stock Assessment Methods toolkit) packages. By loading and installing
    'openMSE', users have access to the full functionality contained within
    these packages. Learn more about 'openMSE' at <https://openmse.com/>.

Create structural equation models that can be manipulated programmatically.
    Models may be specified with matrices or paths (LISREL or RAM)
    Example models include confirmatory factor, multiple group, mixture
    distribution, categorical threshold, modern test theory, differential
    Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares.
    equations, state space, and many others.
	Support and advanced package binaries available at <https://openmx.ssri.psu.edu>.
    The software is described in Neale, Hunter, Pritikin, Zahery, Brick,
    Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.

Calculates a regional natural capital assets index (NCAI) following the methodology designed by NatureScot for Scotland as described in Albon, Balana, Brooker & Eastwood (2014) <https://www.nature.scot/sites/default/files/2025-06/naturescot-commissioned-report-751.pdf> and McKenna et al. (2019) <doi:10.1016/J.ECOLIND.2019.105645>. Processes habitat extent and condition data alongside metadata and weighting systems to produce a yearly single figure indexed relative to a base-year value of 100.