Hidalgo                 Fit the 'Hidalgo' model
Swissroll               Generates a noise-free Swiss roll dataset
autoplot.Hidalgo        Plot the output of the 'Hidalgo' function
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.twonn_bayes    Plot the output of the 'TWO-NN' model estimated
                        via the Bayesian approach
autoplot.twonn_linfit   Plot the output of the 'TWO-NN' model estimated
                        via least squares
autoplot.twonn_mle      Plot the output of the 'TWO-NN' model estimated
                        via the Maximum Likelihood approach
auxHidalgo              Auxiliary functions for the 'Hidalgo' model
clustering              Posterior similarity matrix and partition
                        estimation
compute_mus             Compute the ratio statistics needed for the
                        intrinsic dimension estimation
generalized_ratios_distribution
                        The Generalized Ratio distribution
gride                   'Gride': the Generalized Ratios ID Estimator
gride_evolution         'Gride' evolution based on Maximum Likelihood
                        Estimation
id_by_class             Stratification of the 'id' by an external
                        categorical variable
twonn                   'TWO-NN' estimator
twonn_decimated         Estimate the decimated 'TWO-NN' evolution with
                        halving steps or vector of proportions
twonn_decimation        Estimate the decimated 'TWO-NN' evolution with
                        halving steps or vector of proportions
