Man pages for rudazhang/plmr
Probabilistic Learning on Manifolds in R
| affineTransform | Transform data space |
| bootStatsMean | Bootstrap statistics of sample distribution of the mean |
| cartesian2spherical | Cartesian to Spherical coordinates |
| dgpParabola | Data Generating Process for the Parabola Example |
| drLogPNoisyCircle | Partial derivative of the log density in the radial... |
| E | Expectations of some random variables. |
| estimateRidge | Ridge Estimation |
| expectation | Expectations of some random variables. |
| gd | Heat diffusion of the probability measure/mass on mesh |
| logPNoisyCircle | Log density of the unit circle with Gaussian noise,... |
| LOOCVMLBandwidth | Optimal Parzen bandwidth that maximizes log-likelihood on... |
| LOOCVParzenANLL | Leave-one-out cross validation. |
| manifoldLearn | Manifold learning via diffusion map |
| manifoldSample | Manifold sampling: Gaussian KDE projected on truncated... |
| MeanShift | (KDE-based) Mean shift |
| mindist | Distance to other points in a set |
| MLBandwidth | Optimal Parzen bandwidth that maximizes log-likelihood on... |
| mode1d | Mode estimation in 1d |
| MParzenANLL | Average 'MParzenTest()' over all test points |
| MParzenRadiusTrain | Train MParzen model with fixed-radius nearest neighbors |
| MParzenSample | Sample from MParzen model |
| MParzenSampleNoNoise | Sample from MParzen model on tangent spaces |
| MParzenTest | Testing MParzen model |
| MParzenTrain | Training MParzen model |
| NBB | Normal-bundle bootstrap. |
| norm2 | Euclidean norm of 2-d vectors |
| outlier | Detect Outers |
| ParzenANLL | Average 'ParzenTest()' over all test points |
| ParzenTest | Parzen model |
| pmesh | Estimate probability measure on mesh by fine Gaussian kernels |
| preprocess | Preprocessing |
| radial | Radial coordinate of the parabola example. |
| rCircularChi | Sampling on a circular chi distribution in a flow model. |
| rCircularGauss | Sampling on a circular Gaussian distribution. |
| revpredict | Reverse prediction: principal components to original... |
| rhelix1 | Helix 1: cylindrical coordinates |
| rhelix2 | Helix 2: cylindrical coordinates |
| rsphere | Sampling from a distribution on the unit sphere |
| rtorus | Sampling from a distribution on a torus |
| rtrefoil | Trefoil curve |
| runifcircle | Sampling uniformly on the unit circle. |
| runifsphere | Sampling uniformly on the unit sphere, as a flow model. |
| scms | KDE-based Subspace Constrained Mean Shift |
| scmsMParzen | MParzen KDE-based Subspace Constrained Mean Shift |
| silverman | Silverman's rule of thumb bandwidths |
| SmoothFrame | Construct a smooth frame from an initial orthonormal frame |
| spherical2cartesian | Spherical to Cartesian coordinates |
