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| LPCM-package | Local principal curve methods |
| calspeedflow | Speed-flow data from Calfornia. |
| coverage | Coverage and self-coverage plots. |
| coverage.raw | Coverage and self-coverage plots. |
| distancevector | Auxilary kernel and distance functions. |
| enorm | Auxilary kernel and distance functions. |
| followx | Fit an individual branch of a local principal curve. |
| gaia | Gaia data |
| gvessel | North Atlantic Water Temperature Data. |
| kern | Auxilary kernel and distance functions. |
| kernd | Auxilary kernel and distance functions. |
| lpc | Local principal curves |
| lpc.control | Auxiliary parameters for controlling local principal curves. |
| lpc.coverage | Coverage and self-coverage plots. |
| lpc.curve.length | Auxiliary functions for spline fitting and projection. |
| lpc.fit.spline | Auxiliary functions for spline fitting and projection. |
| lpc.project | Projection onto LPC |
| lpc.project.spline | Auxiliary functions for spline fitting and projection. |
| lpc.Rc | Goodness-of-fit for principal curves |
| lpc.self.coverage | Coverage and self-coverage plots. |
| lpc.spline | Representing local principal curves through a cubic spline. |
| lpc.spline.eval | Auxiliary functions for spline fitting and projection. |
| lpc.splinefun | Auxiliary functions for spline fitting and projection. |
| lpc.unscale | Unscaling LPC objects. |
| LPCM | Local principal curve methods |
| meanshift | Mean shift clustering. |
| mindist | Auxilary kernel and distance functions. |
| ms | Mean shift clustering. |
| ms.rep | Mean shift clustering. |
| ms.self.coverage | Mean shift clustering. |
| plot.lpc | Plotting local principal curves |
| plot.lpc.spline | Plotting local principal curves |
| print.lpc | Printing output for lpc and lpc.spline objects |
| print.lpc.spline | Printing output for lpc and lpc.spline objects |
| Rc | Goodness-of-fit for principal curves |
| select.self.coverage | Coverage and self-coverage plots. |
| vecdist | Auxilary kernel and distance functions. |