# Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data

## 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