Other packages > Find by keyword >

supcluster  

Supervised Cluster Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("supcluster", "1.0.1")



Attach the package and use:
library("supcluster")
Maintained by
David A. Schoenfeld
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-18
Latest Update: 2022-05-19
Description:
Clusters features under the assumption that each cluster has a random effect and there is an outcome variable that is related to the random effects by a linear regression. In this way the cluster analysis is ``supervised'' by the outcome variable. An alternate specification is that features in each cluster have the same compound symmetric normal distribution, and the conditional distribution of the outcome given the features has the same coefficient for each feature in a cluster.
How to cite:
David A. Schoenfeld (2015). supcluster: Supervised Cluster Analysis. R package version 1.0.1, https://cran.r-project.org/web/packages/supcluster
Previous versions and publish date:
1.0.1 (2022-05-19 16:50), 1.0 (2015-05-18 22:45)
Other packages that cited supcluster R package
View supcluster citation profile
Other R packages that supcluster depends, imports, suggests or enhances
Functions, R codes and Examples using the supcluster R package
Some associated functions: beta.by.gene . binaryLink . binaryOutcome . compare.chains . concordmap . coxLink . gene_names . generate.cluster.data . supcluster-package . supcluster . survivalOutcome . tab1 . trauma_data . 
Some associated R codes: binary_link.R . concordmap.R . generate.cluster.data.R . supcluster.R . tab1.R .  Full supcluster package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

MatrixEQTL  
Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Operations
Matrix eQTL is designed for fast eQTL analysis on large datasets. Matrix eQTL can test for associat ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
multiocc  
Fits Multivariate Spatio-Temporal Occupancy Model
Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models. This ...
Download / Learn more Package Citations See dependency  
stagePop  
Modelling the Population Dynamics of a Stage-Structured Species in Continuous Time
Provides facilities to implement and run population models of stage-structured species... ...
Download / Learn more Package Citations See dependency  
CompoundEvents  
Statistical Modeling of Compound Events
Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and q ...
Download / Learn more Package Citations See dependency  
gclus  
Clustering Graphics
Orders panels in scatterplot matrices and parallel coordinate displays by some merit index. Package ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns