Allows to simulate SNP data using genlight objects. For example, it is straight forward to simulate a simple drift scenario with exchange of individuals between two populations or create a new genlight object based on allele frequencies of an existing genlight object.

Provides landscape genomic functions to analyse 'SNP' (single nuclear
    polymorphism) data, such as least cost path analysis and isolation by distance. 
    Therefore each sample needs to have coordinate data attached (lat/lon) to be 
    able to run most of the functions. 'dartR.spatial' is a package that belongs
    to the 'dartRverse' suit of packages and depends on 'dartR.base' and 'dartR.data'.

Provides a single function that supports the installation of all packages 
    belonging to the 'dartRverse'. The 'dartRverse' is a set of packages that work 
    together to analyse SNP (single nuclear polymorphism) data. All packages aim to have a similar 'look and feel' 
    and are based on the same type of data structure ('genlight'), with additional
    metadata for loci and individuals (samples). For more information visit the
    'GitHub' pages <https://github.com/green-striped-gecko/dartRverse>.

Allows manual creation of themes and logos to be used in
    applications created using the 'shinydashboard' package. Removes the need to
    change the underlying css code by wrapping it into a set of convenient R
    functions.

Provides methods for reading, displaying,
    processing and writing files originally arranged for
    the 'DSSAT-CSM' fixed width format. The 'DSSAT-CSM' 
    cropping system model is described at J.W. Jones,
    G. Hoogenboomb, C.H. Porter, K.J. Boote, W.D. Batchelor,
    L.A. Hunt, P.W. Wilkens, U. Singh, A.J. Gijsman, 
    J.T. Ritchie (2003) <doi:10.1016/S1161-0301(02)00107-7>.

An implementation of common higher order functions with syntactic
    sugar for anonymous function. Provides also a link to 'dplyr' and
    'data.table' for common transformations on data frames to work around non
    standard evaluation by default.