In sahirbhatnagar/eclust: Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data

knitr::opts_chunk$set(echo = TRUE)
pacman::p_load(eclust)

Overview of Functions

This package has three sets of functions starting with either r_, s_ or u_

1. r_ (real data functions): related to analysis of real data. Most users will apply this set of functions to their data.

pander::pander(data.frame(`function name` = grep("^r_",pacman::p_functions("eclust"), value = T)))

1. s_ (simulation functions): related to the simulations conducted in the paper. There are functions to simulate data, run the analyses on these data, and output performance metrics.

pander::pander(data.frame(`function name` = grep("^s_",pacman::p_functions("eclust"), value = T)))

1. u_ (utility functions): functions that are used by both simulation and real data analysis functions. Not really meant to be called by the user.

pander::pander(data.frame(`function name` = grep("^u_",pacman::p_functions("eclust"), value = T)))

sahirbhatnagar/eclust documentation built on May 29, 2019, 12:58 p.m.