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PAMA  

Rank Aggregation with Partition Mallows Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PAMA", "1.2.0")



Attach the package and use:
library("PAMA")
Maintained by
Wanchuang Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-13
Latest Update: 2022-11-20
Description:
Rank aggregation aims to achieve a better ranking list given multiple observations. PAMA implements Partition-Mallows model for rank aggregation where the rankers quality are different. Both Bayesian inference and Maximum likelihood estimation MLE are provided. It can handle partial list as well. When covariates information is available this package can make inference by incorporating the covariate information. More information can be found in the paper Integrated Partition-Mallows Model and Its Inference for Rank Aggregation.
How to cite:
Wanchuang Zhu (2020). PAMA: Rank Aggregation with Partition Mallows Model. R package version 1.2.0, https://cran.r-project.org/web/packages/PAMA
Previous versions and publish date:
0.1.0 (2020-01-13 17:20), 0.1.1 (2020-04-09 10:50), 1.0.0 (2021-04-14 14:00), 1.0.1 (2021-04-18 18:10), 1.1.0 (2021-04-28 13:40), 1.2.0 (2021-05-06 15:30)
Other packages that cited PAMA R package
View PAMA citation profile
Other R packages that PAMA depends, imports, suggests or enhances
Functions, R codes and Examples using the PAMA R package
Full PAMA package functions and examples
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