PopGen-package          Analysing population genetic data within a
                        standardised framework
allel.rich              Calculates the allelic richness for a genind
                        object
allele.dist             Counts and visualises allele frequencies across
                        loci and subpopulations
bilby                   Bilby data set
fric.raster             a simulated friction map
gd.kosman               Individual genetic distance calculation based
                        on Kosman & Leonhard 2005
gd.smouse               Individual genetic distance calculation based
                        on Smouse and Peakall 1999
genleastcost            Least-cost path analysis based on a friction
                        matrix
landgen                 A simulated genind data set with spatial
                        coordinates
landgenreport           Create a landscape genetic report
lgrMMRR                 Multiple Matrix Regression with Randomization
                        analysis
null.all                Checks for the presence of and determine the
                        frequency of null alleles
popgenreport            This is the main function of the package. It
                        analyses an object of class 'genind' and then
                        creates a report containing the results of the
                        analysis. There are several routines that can
                        be optionally included in the analysis and
                        there are multip output options including a PDF
                        with the report, R-code and an object
                        ('fname.results') containing all of the
                        results, which can be used for further
                        analyses.
read.genetable          Function to convert textfiles into a genind
                        object (the format required for popgenreport)
spautocor               Spatial autocorrelation following Smouse and
                        Pekall 1999
wassermann              Partial Mantel tests on costdistance matrices
