Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data

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Documentation for package ‘eclust’ version 0.1.0

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

Help Pages

fisherTransform	Calculate Fisher's Z Transformation for Correlations
plot.eclust	Plot Heatmap of Cluster Summaries by Exposure Status
plot.similarity	Function to generate heatmap
r_cluster_data	Cluster data using environmental exposure
r_prepare_data	Prepare data for regression routines
simdata	Simulated Data with Environment Dependent Correlations
s_generate_data	Generate linear response data and test and training sets for simulation study
s_generate_data_mars	Generate non linear response and test and training sets for non-linear simulation study
s_mars_clust	Fit MARS Models on Simulated Cluster Summaries
s_mars_separate	Fit Multivariate Adaptive Regression Splines on Simulated Data
s_modules	Simulate Covariates With Exposure Dependent Correlations
s_pen_clust	Fit Penalized Regression Models on Simulated Cluster Summaries
s_pen_separate	Fit Penalized Regression Models on Simulated Data
s_response	Generate True Response vector for Linear Simulation
s_response_mars	Generate True Response vector for Non-Linear Simulation
tcgaov	Subset of TCGA mRNA Ovarian serous cystadenocarcinoma data
u_cluster_similarity	Cluster similarity matrix
u_extract_selected_earth	Get selected terms from an earth object
u_extract_summary	Calculates cluster summaries
u_fisherZ	Calculate Fisher's Z Transformation for Correlations