Semi-Supervised Learning with Mixed Missingness in Finite Mixture Models

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Documentation for package ‘SSLfmm’ version 0.2.0

• DESCRIPTION file.

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SSLfmm-package	SSLfmm: Semi-Supervised Finite Mixture Models with Mixed Label Missingness
blood_transfusion	Semi-Synthetic Blood Transfusion Data
classification_performance	Classification Performance Metrics
fit_sslfmm	Fit a Semi-Supervised Gaussian Finite Mixture Model
initialize_sslfmm	Initialize SSLfmm Model Parameters
plot_entropy_labels	Boxplot of Posterior Entropy by Class Label
predict.SSLfmm	Methods for SSLfmm Fits
print.SSLfmm	Methods for SSLfmm Fits
rmix	Simulate from a Gaussian Finite Mixture
simulate_mixed_missingness	Simulate Semi-Supervised Data Under Mixed Label Missingness
simulate_sslfmm	Simulate Semi-Supervised Finite-Mixture Data
SSLfmm	SSLfmm: Semi-Supervised Finite Mixture Models with Mixed Label Missingness
summary.SSLfmm	Methods for SSLfmm Fits