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| amalgamate | Group components of a composition |
| amalgamate.compositional | Group components of a composition |
| amalgamate.default | Group components of a composition |
| amalgamate.SRDcorrected | 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 |
| CLR | Centred logratio transformation |
| 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 |
| diss.compositional | Calculate the dissimilarity matrix between two 'distributional' or 'compositional' datasets |
| diss.distributional | 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 |
| GPA | Generalised Procrustes Analysis of configurations |
| indscal | Individual Differences Scaling of provenance data |
| KDE | Create a kernel density estimate |
| KDEs | Generate an object of class 'KDEs' |
| KS.diss | Kolmogorov-Smirnov dissimilarity |
| MDS | Multidimensional Scaling |
| MDS.compositional | Multidimensional Scaling |
| MDS.diss | Multidimensional Scaling |
| MDS.distributional | Multidimensional Scaling |
| minsorting | Assess settling equivalence of detrital components |
| Namib | An example dataset |
| PCA | Principal Component Analysis |
| plot.compositional | Plot a pie chart |
| plot.distributional | Plot continuous data as histograms or cumulative age distributions |
| 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.minsorting | Plot inferred grain size distributions |
| plot.PCA | Compositional biplot |
| 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 |
| SH.diss | Sircombe and Hazelton distance |
| 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 |