Man pages for HBPMedical/CCC
A wrapper to run the 3C methodology

C2Title C2
C3Title C3
cart_functionTitle Classification Using CART
classification_funTitle Classification for the potential Biomarkers
cluster_euclideanTitle Clustering Using Euclidean distances
clusteringTitle Clustering
cluster_manhattanTitle Clustering Using Manhattan Distances
FDR_selectionTitle Feature Selection Using FDR selection
feature_selectionTitle Features Selection
Feature_Selection_AICTitle Feature Selection Using AIC
Feature_Selection_BICTitle Feature Selection Using BIC
Feature_Selection_dummy_regressionsFinds a subset of variables based on all dummy regressions...
Feature_Selection_RFTitle Feature Selection Using Random Forest
get_PBx_from_DATA_C3Title get_PBx_from_DATA_C3
get_xy_from_DATA_C2Title get_xy_from_DATA_C2
hclust_eucTitle Deciding on number of clusters by using Hierarchical...
hclust_manTitle Deciding on number of clusters by Hierarchical...
k_euclideanTitle Gap statisic with k-medoids euclidean
khclust_eucTitle Gap statistics for hclust Euclidean
khclust_manTitle Gap statistics for hclust Manhattan
k_manhattanTitle Gap statisic with k-medoids manhattan
MSFDRTitle Forward Selection Using AIC Criteria and MSFDR...
number_of_clustersTitle LASSO
RF_classifyTitle Classification Using Random Forest Without Down...
RF_one_by_oneTitle Classification Using Random Forest Without Down...
HBPMedical/CCC documentation built on May 28, 2019, 12:40 p.m.