CLR                     Centred logratio transformation
GPA                     Generalised Procrustes Analysis of
                        configurations
KDE                     Create a kernel density estimate
KDEs                    Generate an object of class 'KDEs'
KS.diss                 Kolmogorov-Smirnov dissimilarity
MDS                     Multidimensional Scaling
Namib                   An example dataset
PCA                     Principal Component Analysis
SH.diss                 Sircombe and Hazelton distance
amalgamate              Group components of a composition
as.acomp                create an 'acomp' object
as.compositional        create a 'compositional' object
as.data.frame.compositional
                        create a 'data.frame' object
botev                   Compute the optimal kernel bandwidth
bray.diss               Bray-Curtis dissimilarity
combine                 Combine samples of distributional data
densities               A list of rock and mineral densities
diss                    Calculate the dissimilarity matrix between two
                        'distributional' or 'compositional' datasets
endmembers              Petrographic end-member compositions
get.f                   Calculate the largest fraction that is likely
                        to be missed
get.n                   Calculate the number of grains required to
                        achieve a desired level of sampling resolution
get.p                   Calculate the probability of missing a given
                        population fraction
indscal                 Individual Differences Scaling of provenance
                        data
minsorting              Assess settling equivalence of detrital
                        components
plot.GPA                Plot a Procrustes configuration
plot.INDSCAL            Plot an INDSCAL group configuration and source
                        weights
plot.KDE                Plot a kernel density estimate
plot.MDS                Plot an MDS configuration
plot.PCA                Compositional biplot
plot.compositional      Plot a pie chart
plot.distributional     Plot continuous data as histograms or
                        cumulative age distributions
plot.minsorting         Plot inferred grain size distributions
plot.ternary            Plot a ternary diagram
procrustes              Generalised Procrustes Analysis of provenance
                        data
provenance              Menu-based interface for 'provenance'
read.compositional      Read a .csv file with categorical data
read.densities          Read a .csv file with mineral and rock
                        densities
read.distributional     Read a .csv file with continuous (detrital
                        zircon) data
restore                 Undo the effect of hydraulic sorting
subset.compositional    Get a subset of compositional data
subset.distributional   Get a subset of distributional data
summaryplot             Joint plot of several provenance datasets
ternary                 Define a ternary composition
