Simplify the process of extracting and processing Clinical Practice
  Research Datalink (CPRD) data in order to build datasets ready for statistical
  analysis. This process is difficult in 'R', as the raw data is very large and 
  cannot be read into the R workspace. 'rcprd' utilises 'RSQLite' to create 
  'SQLite' databases which are stored on the hard disk. These are then  queried 
  to extract the required information for a cohort of interest, and create 
  datasets ready for statistical analysis. The  processes follow closely that 
  from the 'rEHR' package, see Springate et al., (2017) 
  <doi:10.1371/journal.pone.0171784>.

An implementation of functions for the analysis of crime incident or records
  management system data. The package implements analysis algorithms scaled for city
  or regional crime analysis units. The package provides functions for kernel density
  estimation for crime heat maps, geocoding using the 'Google Maps' API, identification 
  of repeat crime incidents, spatio-temporal map comparison across time intervals, 
  time series analysis (forecasting and decomposition), detection of optimal parameters 
  for the identification of near repeat incidents, and near repeat analysis with crime 
  network linkage.

Provides tools to automate the morphological delineation of
    riverside urban areas based on a method introduced in Forgaci (2018)
    <doi:10.7480/abe.2018.31>. Delineation entails the identification of
    corridor boundaries, segmentation of the corridor, and delineation of
    the river space using two-dimensional spatial information from street
    network data and digital elevation data in a projected CRS. The
    resulting delineation can be used to characterise spatial phenomena
    that can be related to the river as a central element.

Aims at loading Criteo online advertising campaign data into R.
    Criteo <http://www.criteo.com/> is an online advertising service that enables
    advertisers to display commercial ads to web users. The package provides
    an authentication process for R with the Criteo API <http://kb.criteo.com/
    advertising/content/5/27/en/api.html>. Moreover, the package features an
    interface to query campaign data from the Criteo API. The data can be downloaded
    and will be transformed into a R data frame.