Hidalgo                 Gibbs sampler for 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
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
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
print.Hidalgo           Print the Hidalgo object
print.gride_bayes       Print 'Gride' Bayes object
print.gride_evolution   Print 'Gride' evolution object
print.gride_mle         Print 'Gride' MLE object
print.hidalgo_psm       Print the summary of the clustering solution
print.mus               Print the ratio statistics output
print.twonn_bayes       Print 'TWO-NN' Bayes object
print.twonn_dec_by      Print 'TWO-NN' evolution object decimated via
                        halving steps
print.twonn_dec_prop    Print 'TWO-NN' evolution object decimated via
                        vector of proportions
print.twonn_linfit      Print TWO-NN Least Squares output
print.twonn_mle         Print 'TWO-NN' MLE output
psm_and_cluster         Posterior similarity matrix and partition
                        estimation
twonn                   'TWO-NN' estimator
twonn_decimated         Estimate the decimated 'TWO-NN' evolution with
                        halving steps or vector of proportions
