Other packages > Find by keyword >

eclust  

Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data
View on CRAN: Click here


Download and install eclust package within the R console
Install from CRAN:
install.packages("eclust")

Install from Github:
library("remotes")
install_github("cran/eclust")

Install by package version:
library("remotes")
install_version("eclust", "0.1.0")



Attach the package and use:
library("eclust")
Maintained by
Sahir Rai Bhatnagar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-26
Latest Update: 2017-01-26
Description:
Companion package to the paper: An analytic approach for interpretable predictive models in high dimensional data, in the presence of interactions with exposures. Bhatnagar, Yang, Khundrakpam, Evans, Blanchette, Bouchard, Greenwood (2017) . This package includes an algorithm for clustering high dimensional data that can be affected by an environmental factor.
How to cite:
Sahir Rai Bhatnagar (2017). eclust: Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data. R package version 0.1.0, https://cran.r-project.org/web/packages/eclust. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 0.1.0 (2017-01-26 12:08)
Other packages that cited eclust R package
View eclust citation profile
Other R packages that eclust depends, imports, suggests or enhances
Complete documentation for eclust
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA