| Anthropometry-package | Statistical Methods for Anthropometric Data |
| anthrCases | Helper generic function for obtaining the anthropometric cases |
| anthrCases.default | Helper generic function for obtaining the anthropometric cases |
| anthrCases.hipamAnthropom | Helper generic function for obtaining the anthropometric cases |
| anthrCases.trimowa | Helper generic function for obtaining the anthropometric cases |
| archetypesBoundary | Archetypal analysis in multivariate accommodation problem |
| archetypoids | Finding archetypoids |
| array3Dlandm | Helper function for the 3D landmarks |
| bustSizesStandard | Helper function for defining the bust sizes |
| CCbiclustAnthropo | Cheng and Church biclustering algorithm applied to anthropometric data |
| cdfDissWomenPrototypes | CDF for the dissimilarities between women and computed medoids and standard prototypes |
| checkBranchLocalIMO | Evaluation of the candidate clustering partition in $HIPAM_IMO$ |
| checkBranchLocalMO | Evaluation of the candidate clustering partition in $HIPAM_MO$ |
| computSizesHipamAnthropom | Computation of the hipamAnthropom elements for a given number of sizes defined by the EN |
| computSizesTrimowa | Computation of the trimowa elements for a given number of sizes defined by the EN |
| cube34landm | Cube of 34 landmarks |
| cube8landm | Cube of 8 landmarks |
| descrDissTrunks | Description of the dissimilarities between women's trunks |
| figures8landm | Figures of 8 landmarks with labelled landmarks |
| getBestPamsamIMO | Generation of the candidate clustering partition in $HIPAM_IMO$ |
| getBestPamsamMO | Generation of the candidate clustering partition in $HIPAM_MO$ |
| getDistMatrix | Dissimilarity matrix between individuals and prototypes |
| HartiganShapes | Hartigan-Wong k-means for 3D shapes |
| hipamAnthropom | HIPAM algorithm for anthropometric data |
| landmarksSampleSpaSurv | Landmarks of the sampled women of the Spanish Survey |
| LloydShapes | Lloyd k-means for 3D shapes |
| nearestToArchetypes | Nearest individuals to archetypes |
| optraShapes | Auxiliary optra subroutine of the Hartigan-Wong k-means for 3D shapes |
| overlapBiclustersByRows | Overlapped biclusters by rows |
| parallelep34landm | Parallelepiped of 34 landmarks |
| parallelep8landm | Parallelepiped of 8 landmarks |
| percentilsArchetypoid | Helper function for computing percentiles of a certain archetypoid |
| plotPrototypes | Prototypes representation |
| plotTreeHipamAnthropom | HIPAM dendogram |
| plotTrimmOutl | Trimmed or outlier observations representation |
| preprocessing | Data preprocessing before computing archetypal observations |
| projShapes | Helper function for plotting the shapes |
| qtranShapes | Auxiliary qtran subroutine of the Hartigan-Wong k-means for 3D shapes |
| sampleSpanishSurvey | Sample database of the Spanish anthropometric survey |
| screeArchetypal | Screeplot of archetypal individuals |
| shapes3dShapes | 3D shapes plot |
| skeletonsArchetypal | Skeleton plot of archetypal individuals |
| stepArchetypesRawData | Archetype algorithm to raw data |
| stepArchetypoids | Run the archetypoid algorithm several times |
| TDDclust | Trimmed clustering based on L1 data depth |
| trimmedLloydShapes | Trimmed Lloyd k-means for 3D shapes |
| trimmedoid | Trimmed k-medoids algorithm |
| trimmOutl | Helper generic function for obtaining the trimmed and outlier observations |
| trimmOutl.default | Helper generic function for obtaining the trimmed and outlier observations |
| trimmOutl.hipamAnthropom | Helper generic function for obtaining the trimmed and outlier observations |
| trimmOutl.trimowa | Helper generic function for obtaining the trimmed and outlier observations |
| trimowa | Trimmed PAM with OWA operators |
| USAFSurvey | USAF 1967 survey |
| weightsMixtureUB | Calculation of the weights for the OWA operators |
| xyplotPCArchetypes | PC scores for archetypes |