R: Deep Significance Clustering for Clinical Risk Stratification

# 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