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ocomposition  

Regression for Rank-Indexed Compositional Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ocomposition", "1.1")



Attach the package and use:
library("ocomposition")
Maintained by
Arturas Rozenas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-29
Latest Update:
Description:
Regression model where the response variable is a rank-indexed compositional vector (non-negative values that sum up to one and are ordered from the largest to the smallest). Parameters are estimated in the Bayesian framework using MCMC methods.
How to cite:
Arturas Rozenas (2012). ocomposition: Regression for Rank-Indexed Compositional Data. R package version 1.1, https://cran.r-project.org/web/packages/ocomposition. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0 (2012-10-29 08:59), 1.1 (2015-08-10 09:09)
Other packages that cited ocomposition R package
View ocomposition citation profile
Other R packages that ocomposition depends, imports, suggests or enhances
Functions, R codes and Examples using the ocomposition R package
Some associated functions: auxiliary . data . fitcomp . negbin . plot.comphat . predict.composition . summary.composition . 
Some associated R codes: a.R . cntr.R . dtnegbin.R . fitcomp.R . logit.R . plot.comphat.R . predict.composition.R . rmnorm.R . rtnegbin.R . summary.composition.R . v.y.R . y.v.R .  Full ocomposition package functions and examples
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