Binary Generalized Extreme Value Additive Models (bgeva)
Routine for fitting regression models for binary rare events with linear and nonlinear covariate effects when using the quantile function of the Generalized Extreme Value random variable.

Import OpenStreetMap Data as Simple Features or Spatial Objects (osmdata)
Download and import of ‘OpenStreetMap’ (‘OSM’) data as ‘sf’ or ‘sp’ objects. ‘OSM’ data are extracted from the ‘Overpass’ web server and processed with very fast ‘C++’ routines for return to ‘R’.

Fractional Hot Deck and Fully Efficient Fractional Imputation (FHDI)
Impute general multivariate missing data with the fractional hot deck imputation.

Google Citation Parser (gcite)
Scrapes Google Citation pages and creates data frames of citations over time.

Dimensionality Assessment using Minimum Rank Factor Analysis (DA.MRFA)
Performs Parallel Analysis for assessing the dimensionality of a set of variables using Minimum Rank Factor Analysis (see Timmerman & Lorenzo-Seva (2011) <DOI:10.1037/a0023353> and ten Berge & Kiers (1991) <DOI:10.1007/BF02294464> for more information). The package also includes the option to compute Minimum Rank Factor Analysis by itself, as well as the Greater Lower Bound calculation.