Other packages > Find by keyword >

orloca  

Operations Research LOCational Analysis Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("orloca", "5.6")



Attach the package and use:
library("orloca")
Maintained by
Manuel Munoz-Marquez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-06-16
Latest Update: 2024-02-07
Description:
Objects and methods to handle and solve the min-sum location problem, also known as Fermat-Weber problem. The min-sum location problem search for a point such that the weighted sum of the distances to the demand points are minimized. See "The Fermat-Weber location problem revisited" by Brimberg, Mathematical Programming, 1, pg. 71-76, 1995. . General global optimization algorithms are used to solve the problem, along with the adhoc Weiszfeld method, see "Sur le point pour lequel la Somme des distances de n points donnes est minimum", by Weiszfeld, Tohoku Mathematical Journal, First Series, 43, pg. 355-386, 1937 or "On the point for which the sum of the distances to n given points is minimum", by E. Weiszfeld and F. Plastria, Annals of Operations Research, 167, pg. 7-41, 2009. .
How to cite:
Manuel Munoz-Marquez (2008). orloca: Operations Research LOCational Analysis Models. R package version 5.6, https://cran.r-project.org/web/packages/orloca. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.0 (2008-06-16 12:02), 2.0 (2008-09-15 09:03), 3.0 (2010-04-05 09:54), 3.1 (2010-04-22 08:21), 3.2 (2010-05-26 18:55), 4.0 (2012-05-09 12:04), 4.1 (2012-12-27 06:26), 4.2 (2014-06-02 22:17), 4.3 (2017-10-24 23:45), 4.5 (2018-04-21 23:22), 4.6 (2018-10-27 09:00), 4.8 (2019-03-29 00:00), 4.9 (2020-03-04 17:00), 4.10 (2020-09-27 12:50), 5.3 (2023-05-16 13:10)
Other packages that cited orloca R package
View orloca citation profile
Other R packages that orloca depends, imports, suggests or enhances
Complete documentation for orloca
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

clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
Download / Learn more Package Citations See dependency  
ppmf  
Read Census Privacy Protected Microdata Files
Implements data processing described in to align modern differentially ...
Download / Learn more Package Citations See dependency  
OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  
fclust  
Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visuali ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

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