Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D and 2D Data

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Documentation for package ‘dpGMM’ version 0.2.2

• DESCRIPTION file
• Package README

Help Pages

binned	Data example of binned problem in mass spectrometry
EM_iter	Expectation-maximization algorithm for 1D data
EM_iter_2D	Expectation-maximization algorithm for 2D data
example	Data of 1D mixed-normal distributions
example2D	Data of 2D mixed-normal distributions
find_class_2D	Class assignment for 2D Gaussian Mixture Model data
find_thr_by_dist	Thresholds estimations for 1D from GMM distribution
find_thr_by_params	Thresholds estimations for 1D from GMM parameters
gaussian_mixture_2D	Gaussian mixture decomposition for 2D data
gaussian_mixture_vector	Gaussian mixture decomposition for 1D data
generate_dist	Generation of GMM data with high precision
generate_dset2D	Generator of multiple random 2D mixed-normal distributions
generate_norm1D	Generator of 1D mixed-normal distributions
generate_norm2D	Generator of 2D mixed-normal distributions
GMM_1D_opts	Default configuration for 1D Gaussian Mixture decomposition
GMM_2D_opts	Default configuration for 2D Gaussian Mixture decomposition
img_to_coords	2D plot support
plot_gmm_1D	Plot of GMM decomposition for 1D data
plot_gmm_2D_binned	Plot of GMM decomposition for 2D binned data
plot_gmm_2D_orig	Plot of GMM decomposition for 2D data
plot_QQplot	QQplot of GMM decomposition for 1D data
runGMM	Function to fit Gaussian Mixture Model (GMM) to 1D data
runGMM2D	Function to fit Gaussian Mixture Model (GMM) to 2D data