A recipe prepares your data for modeling. We provide an
    extensible framework for pipeable sequences of feature engineering
    steps provides preprocessing tools to be applied to data. Statistical
    parameters for the steps can be estimated from an initial data set and
    then applied to other data sets. The resulting processed output can
    then be used as inputs for statistical or machine learning models.

Functions to assist in performing probabilistic record linkage and
    deduplication: generating pairs, comparing records, em-algorithm for
    estimating m- and u-probabilities
    (I. Fellegi & A. Sunter (1969) <doi:10.1080/01621459.1969.10501049>, 
    T.N. Herzog, F.J. Scheuren, & W.E. Winkler (2007), 
    "Data Quality and Record Linkage Techniques", ISBN:978-0-387-69502-0),
    forcing one-to-one matching. Can also be
    used for pre- and post-processing for machine learning methods for record
    linkage. Focus is on memory, CPU performance and flexibility.

The analysis of different aspects of biodiversity requires specific algorithms. For example, in regionalisation analyses, the high frequency of ties and zero values in dissimilarity matrices produced by Beta-diversity turnover produces hierarchical cluster dendrograms whose topology and bootstrap supports are affected by the order of rows in the original matrix. Moreover, visualisation of biogeographical regionalisation can be facilitated by a combination of hierarchical clustering and multi-dimensional scaling. The recluster package provides robust techniques to visualise and analyse patterns of biodiversity and to improve occurrence data for cryptic taxa.

Implements the RecMap MP2 construction heuristic
  <doi:10.1109/INFVIS.2004.57>.
  This algorithm draws maps according to a given statistical
  value, e.g., election results, population, or epidemiological data.
  The basic idea of the RecMap algorithm is that each map region,
  e.g., different countries, is represented by a rectangle.
  The area of each rectangle represents the statistical value provided
  as input to maintain zero cartographic error.
  Computationally intensive tasks are implemented in C++.
  The included vignette documents recmap algorithm usage.