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.

Provides functions for optimal policy learning in socioeconomic applications helping users to learn the most effective policies based 
	on data in order to maximize empirical welfare. Specifically, 'OPL' allows to find "treatment assignment rules" that maximize the overall 
	welfare, defined as the sum  of the policy effects estimated over all the policy beneficiaries. Documentation about 'OPL' is provided by  
	several international articles via Athey et al (2021, <doi:10.3982/ECTA15732>), Kitagawa et al (2018, <doi:10.3982/ECTA13288>),
        Cerulli (2022, <doi:10.1080/13504851.2022.2032577>), the paper by Cerulli (2021, <doi:10.1080/13504851.2020.1820939>) 
	and the book by Gareth et al (2013, <doi:10.1007/978-1-4614-7138-7>).