Contains functions to estimate the Correlation-Adjusted Regression Survival (CARS) Scores. The method is described in Welchowski, T. and Zuber, V. and Schmid, M., (2018), Correlation-Adjusted Regression Survival Scores for High-Dimensional Variable Selection, <arXiv:1802.08178>.

Functions to prepare and filter an origin-destination matrix for thematic flow mapping purposes.   
             This comes after Bahoken, Francoise (2016), Mapping flow matrix a contribution, PhD in Geography - Territorial sciences. See Bahoken (2017) <doi:10.4000/netcom.2565>.

Construct continuous and non-contiguous area cartograms.

Procedures for making continuous cartogram. Procedures available are:
     flow based cartogram (Gastner & Newman (2004) <doi:10.1073/pnas.0400280101>),
     fast flow based cartogram (Gastner, Seguy & More (2018) <doi:10.1073/pnas.1712674115>),
     rubber band based cartogram (Dougenik et al. (1985)
                        <doi:10.1111/j.0033-0124.1985.00075.x>).

A tool for easily matching spatial data when you have a list of
    place/region names. You might have a data frame that came from a
    spreadsheet tracking some data by suburb or state. This package can
    convert it into a spatial data frame ready for plotting. The actual map
    data is provided by other packages (or your own code).

Create and integrate maps in your R workflow. This package helps 
    to design cartographic representations such as proportional symbols, 
    choropleth, typology, flows or discontinuities maps. It also offers several 
    features that improve the graphic presentation of maps, for instance, map 
    palettes, layout elements (scale, north arrow, title...), labels or legends. 
    See Giraud and Lambert (2017) <doi:10.1007/978-3-319-57336-6_13>.

It provides real-time data from the Casablanca Stock Exchange. The objective is to facilitate access to data for all users of the R programming language. 
             It includes a variety of data accessible just by function call.