ALR                     Additive logratio transformation
CA                      Correspondence Analysis
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
Kuiper.diss             Kuiper dissimilarity
MDS                     Multidimensional Scaling
Namib                   An example dataset
PCA                     Principal Component Analysis
SH.diss                 Sircombe and Hazelton distance
SNSM                    varietal data example
Wasserstein.diss        Wasserstein distance
amalgamate              Group components of a composition
as.acomp                create an 'acomp' object
as.compositional        create a 'compositional' object
as.counts               create a 'counts' object
as.data.frame           create a 'data.frame' object
as.varietal             create a 'varietal' object
botev                   Compute the optimal kernel bandwidth
bray.diss               Bray-Curtis dissimilarity
central.counts          Calculate central compositions
combine                 Combine samples of distributional data
densities               A list of rock and mineral densities
diss.distributional     Calculate the dissimilarity matrix between two
                        datasets of class 'distributional',
                        'compositional', 'counts' or 'varietal'
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
lines.ternary           Ternary line plotting
minsorting              Assess settling equivalence of detrital
                        components
plot.CA                 Point-counting biplot
plot.GPA                Plot a Procrustes configuration
plot.INDSCAL            Plot an INDSCAL group configuration and source
                        weights
plot.KDE                Plot a kernel density estimate
plot.KDEs               Plot one or more kernel density estimates
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
points.ternary          Ternary point plotting
procrustes              Generalised Procrustes Analysis of provenance
                        data
provenance              Menu-based interface for 'provenance'
radialplot.counts       Visualise point-counting data on a radial plot
read.compositional      Read a .csv file with compositional data
read.counts             Read a .csv file with point-counting data
read.densities          Read a .csv file with mineral and rock
                        densities
read.distributional     Read a .csv file with distributional data
read.varietal           Read a .csv file with varietal data
restore                 Undo the effect of hydraulic sorting
subset                  Get a subset of provenance data
summaryplot             Joint plot of several provenance datasets
ternary                 Define a ternary composition
ternary.ellipse         Ternary confidence ellipse
text.ternary            Ternary text plotting
varietal2distributional
                        Convert varietal to distributional data
