R: Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data

# Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data

## Documentation for package ‘TemporalForest’ version 0.1.4

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

## Help Pages

%||% | Null-safe (coalescing) operator
calculate_fs_metrics_cv | Calculate Feature Selection Metrics
calculate_pred_metrics_cv | Calculate Prediction Metrics
check_temporal_consistency | Check Consistency of Temporal Predictor Data
null_or | Null-safe (coalescing) operator
print.TemporalForest | Print Method for TemporalForest Objects
select_soft_power | Select the best soft-thresholding power for WGCNA
temporal_forest | Temporal Forest for Longitudinal Feature Selection