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 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 |
credible_intervals |
Auxiliary functions for the 'Hidalgo' model |
dgera |
The Generalized Ratio distribution |
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 variable |
initial_values |
Auxiliary functions for the 'Hidalgo' model |
plot.gride_bayes |
'Gride': the Generalized Ratios ID Estimator |
plot.gride_evolution |
'Gride' evolution based on Maximum Likelihood Estimation |
plot.gride_mle |
'Gride': the Generalized Ratios ID Estimator |
plot.Hidalgo |
Fit the 'Hidalgo' model |
plot.hidalgo_psm |
Posterior similarity matrix and partition estimation |
plot.mus |
Compute the ratio statistics needed for the intrinsic dimension estimation |
plot.twonn_bayes |
'TWO-NN' estimator |
plot.twonn_dec_by |
Estimate the decimated 'TWO-NN' evolution with halving steps or vector of proportions |
plot.twonn_dec_prop |
Estimate the decimated 'TWO-NN' evolution with halving steps or vector of proportions |
plot.twonn_linfit |
'TWO-NN' estimator |
plot.twonn_mle |
'TWO-NN' estimator |
posterior_means |
Auxiliary functions for the 'Hidalgo' model |
posterior_medians |
Auxiliary functions for the 'Hidalgo' model |
print.gride_bayes |
'Gride': the Generalized Ratios ID Estimator |
print.gride_evolution |
'Gride' evolution based on Maximum Likelihood Estimation |
print.gride_mle |
'Gride': the Generalized Ratios ID Estimator |
print.Hidalgo |
Fit the 'Hidalgo' model |
print.hidalgo_class |
Stratification of the 'id' by an external categorical variable |
print.hidalgo_psm |
Posterior similarity matrix and partition estimation |
print.mus |
Compute the ratio statistics needed for the intrinsic dimension estimation |
print.mus_Nq |
Compute the ratio statistics needed for the intrinsic dimension estimation |
print.summary.gride_bayes |
'Gride': the Generalized Ratios ID Estimator |
print.summary.gride_mle |
'Gride': the Generalized Ratios ID Estimator |
print.summary.Hidalgo |
Fit the 'Hidalgo' model |
print.summary.twonn_bayes |
'TWO-NN' estimator |
print.summary.twonn_linfit |
'TWO-NN' estimator |
print.summary.twonn_mle |
'TWO-NN' estimator |
print.twonn_bayes |
'TWO-NN' estimator |
print.twonn_dec_by |
Estimate the decimated 'TWO-NN' evolution with halving steps or vector of proportions |
print.twonn_dec_prop |
Estimate the decimated 'TWO-NN' evolution with halving steps or vector of proportions |
print.twonn_linfit |
'TWO-NN' estimator |
print.twonn_mle |
'TWO-NN' estimator |
rgera |
The Generalized Ratio distribution |
summary.gride_bayes |
'Gride': the Generalized Ratios ID Estimator |
summary.gride_mle |
'Gride': the Generalized Ratios ID Estimator |
summary.Hidalgo |
Fit the 'Hidalgo' model |
summary.twonn_bayes |
'TWO-NN' estimator |
summary.twonn_linfit |
'TWO-NN' estimator |
summary.twonn_mle |
'TWO-NN' estimator |
Swissroll |
Generates a noise-free Swiss roll dataset |
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 |