Man pages for bastienchassagnol/RGMMBench
A benchmark on Gaussian mixtures in R

array_to_trig_matConvert an array of covariance matrices to short lower...
benchmark_univariate_GMM_estimationLaunch the benchmark to compare statistical performances...
check_parameters_validity_univariateCheck whether the estimation has been trapped in the boundary...
compute_average_overlapCompute average overlap between components
compute_microbenchmark_univariateLaunch the benchmark to compare computational performances...
compute_overlap_rootsCompute the intersection points between two Gaussian mixtures...
compute_shannon_entropyCompute the shannon entropy of a discrete distribution,...
emnmix_multivariateCustom R implementation of the EM algorithm in the...
emnmix_univariateCustom R implementation of the EM algorithm in the univariate...
enforce_identifiabilityControl parameters output
estimate_supervised_univariate_GMMEstimate the parameters in supervised case (all labels...
format_theta_outputFormat the estimated parameters
generate_ellipseCompute a set of points, in order to draw 95% confidence...
get_local_scoresCompute bias and mse for each parameter of a GMM distribution
get_plot_limitsRetrieve the limits of a package
hellingerCompute the Hellinger distance
initialize_em_univariateReturn initial estimates to the EM algorithm for GMM...
is_integerTest whether a number is an integer
is_positive_definiteCheck the positive definiteness of a symmetric real matrix
logsumexpHelper functions for the parameter estimation of GMMs
mahaThe Maha distance
plot_boxplots_parametersPlot the boxplot representation of the estimated parameters
plot_correlation_HeatmapPlot Correlation Heatmap
plot_ellipses_bivariatePlot the confidence interval ellipses
plot_HellingerPlot boxplot of the Hellinger distances per component
plot_initialisation_time_computationsPlot the running time of the initialisation methods
plot_multi_parametrisationGenerate the 14 configuration models
plot_time_computationsPlot the running time of the reviewed packages
plot_univariate_normal_density_distributionPlot the true density distributions, in the univariate...
quadraticRootsCreate quadratic formula function:
simulate_univariate_GMMGeneration of a mixture drawn from an univariate GMM, with...
trig_mat_to_arrayConvert condensed covariance matrix to large array format
unformat_theta_outputUnformat the estimated parameters
vec2symConvert vector to symmetric matrix
bastienchassagnol/RGMMBench documentation built on Oct. 26, 2023, 5:58 p.m.