Man pages for intRinsic
Likelihood-Based Intrinsic Dimension Estimators
| autoplot.gride_bayes | Plot the simulated MCMC chains for the Bayesian 'Gride' |
| autoplot.gride_evolution | Plot the evolution of 'Gride' estimates |
| autoplot.gride_mle | Plot the simulated bootstrap sample for the MLE 'Gride' |
| autoplot.Hidalgo | Plot the output of the 'Hidalgo' function |
| autoplot.twonn_bayes | Plot the output of the 'TWO-NN' model estimated via the... |
| autoplot.twonn_linfit | Plot the output of the 'TWO-NN' model estimated via least... |
| autoplot.twonn_mle | Plot the output of the 'TWO-NN' model estimated via the... |
| auxHidalgo | Auxiliary functions for the 'Hidalgo' model |
| clustering | Posterior similarity matrix and partition estimation |
| compute_mus | Compute the ratio statistics needed for the intrinsic... |
| generalized_ratios_distribution | The Generalized Ratio distribution |
| gride | 'Gride': the Generalized Ratios ID Estimator |
| gride_evolution | 'Gride' evolution based on Maximum Likelihood Estimation |
| Hidalgo | Fit the 'Hidalgo' model |
| id_by_class | Stratification of the 'id' by an external categorical... |
| intRinsic-package | intRinsic: Likelihood-Based Intrinsic Dimension Estimators |
| reexports | Objects exported from other packages |
| Swissroll | Generates a noise-free Swiss roll dataset |
| twonn | 'TWO-NN' estimator |
| twonn_decimated | Estimate the decimated 'TWO-NN' evolution with halving steps... |
| twonn_decimation | Estimate the decimated 'TWO-NN' evolution with halving steps... |
