A toolbox for working with public opinion data from Argentina. It facilitates access to microdata and the calculation of indicators of the Trust in Government Index (ICG), prepared by the Torcuato Di Tella University. Although we will try to document everything possible in English, by its very nature Spanish will be the main language. El paquete fue pensado como una caja de herramientas para el trabajo con datos de opinión pública de Argentina. El mismo  facilita el acceso a los microdatos y el cálculos de indicadores del Índice de Confianza en el Gobierno (ICG), elaborado por la Universidad Torcuato Di Tella.

Designed for performing impact analysis of
  opinions in a digital text document (DTD). The 
  package allows a user to assess the extent to which a theme
  or subject within a document impacts the overall opinion 
  expressed in the document. The package can be applied to a wide 
  range of opinion-based DTD, including commentaries on social media
  platforms (such as 'Facebook', 'Twitter' and 'Youtube'), 
  online products reviews, and so on. 
  The utility of 'opitools' was originally demonstrated 
  in Adepeju and Jimoh (2021) <doi:10.31235/osf.io/c32qh> in the 
  assessment of COVID-19 impacts on neighbourhood policing using 
  Twitter data. Further examples can be found in the vignette of 
  the package.

Computes the routing distribution, the expectation of the number of broadcasts, transmissions and receptions considering an Opportunistic transport model. It provides theoretical results and also estimated values based on Monte Carlo simulations.

A decision support tool for prioritizing conservation projects.
    Prioritizations can be developed by maximizing expected feature richness,
    expected phylogenetic diversity, the number of features that meet
    persistence targets, or identifying a set of projects that meet persistence
    targets for minimal cost. Constraints (e.g. lock in specific actions) and
    feature weights can also be specified to further customize prioritizations.
    After defining a project prioritization problem, solutions can be obtained
    using exact algorithms, heuristic algorithms, or random processes. In
    particular, it is recommended to install the 'Gurobi' optimizer (available
    from <https://www.gurobi.com>) because it can identify optimal solutions
    very quickly. Finally, methods are provided for comparing different
    prioritizations and evaluating their benefits. For more information, see
    Hanson et al. (2019) <doi:10.1111/2041-210X.13264>.