Other packages > Find by keyword >

cops  

Cluster Optimized Proximity Scaling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cops", "1.12-1")



Attach the package and use:
library("cops")
Maintained by
Thomas Rusch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-01
Latest Update: 2024-09-22
Description:
Multidimensional scaling (MDS) methods that aim at pronouncing the clustered appearance of the configuration (Rusch, Mair & Hornik, 2021, ). They achieve this by transforming proximities/distances with power functions and augment the fitting criterion with a clusteredness index, the OPTICS Cordillera (Rusch, Hornik & Mair, 2018, ). There are two variants: One for finding the configuration directly (COPS-C) for ratio, power, interval and non-metric MDS (Borg & Groenen, 2005, ISBN:978-0-387-28981-6), and one for using the augmented fitting criterion to find optimal parameters (P-COPS). The package contains various functions, wrappers, methods and classes for fitting, plotting and displaying different MDS models in a COPS framework like ratio, interval and non-metric MDS for COPS-C and P-COPS with Torgerson scaling (Torgerson, 1958, ISBN:978-0471879459), scaling by majorizing a complex function (SMACOF; de Leeuw, 1977, ), Sammon mapping (Sammon, 1969, ), elastic scaling (McGee, 1966, ), s-stress (Takane, Young & de Leeuw, 1977, ), r-stress (de Leeuw, Groenen & Mair, 2016, ), power stress (Buja & Swayne, 2002 ), restricted power stress, approximate power stress, power elastic scaling, power Sammon mapping (for all Rusch, Mair & Hornik, 2021, ). All of these models can also solely be fit as MDS with power transformations. The package further contains a function for pattern search optimization, the ``Adaptive Luus-Jaakola Algorithm'' (Rusch, Mair & Hornik, 2021,).
How to cite:
Thomas Rusch (2019). cops: Cluster Optimized Proximity Scaling. R package version 1.12-1, https://cran.r-project.org/web/packages/cops. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0-2 (2019-11-01 10:30), 1.2-0 (2021-03-23 14:50), 1.3-1 (2023-01-19 16:50), 1.11-3 (2024-06-27 13:10)
Other packages that cited cops R package
View cops citation profile
Other R packages that cops depends, imports, suggests or enhances
Complete documentation for cops
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
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  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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