Deep Significance Clustering for Clinical Risk Stratification

---

Documentation for package ‘DICErClust’ version 0.1.2

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package README

Help Pages

analysis_p_value_related	Analyze P-Value and Outcome Ratios for Clusters
analysis_p_value_related_onlyc	Analyze P-Value and Outcome Ratios for Clusters Using Only Cluster Information
change_label_from_highratio_to_lowratio	Reassign Cluster Labels Based on Outcome Ratios
DecoderRNN	DecoderRNN Neural Network Module
DICEr	DICEr Function for Training and Evaluating a Deep Learning Model
EncoderRNN	EncoderRNN Neural Network Module
func_analysis_test_error_D0406	Analyze Test Error and Performance Metrics for a Model
main	Main Function for Training and Evaluating a Deep Learning Model
model_2	model_2 Neural Network Module
parse_args	Parse Command-Line Arguments for PPD-Aware Clustering
p_value_calculate	Calculate P-Value for Logistic Regression Model
test_AE	Evaluate Autoencoder Model on Test Data
update_M	Update Cluster Embeddings in Matrix M
update_testset_R_C_M_K	Update Test Set Representations, Cluster Assignments, and Cluster Centers