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StatRank
View on CRAN: Click
here
Download and install StatRank package within the R console
Install from CRAN:
install.packages("StatRank")
Install from Github:
library("remotes")
install_github("cran/StatRank")
Install by package version:
library("remotes")
install_version("StatRank", "0.0.6")
Attach the package and use:
library("StatRank")
Maintained by
Hossein Azari Soufiani
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.StatRank . StatRank results . StatRank.pdf . StatRank_0.0.6.tar.gz . StatRank_0.0.6.zip . StatRank_0.0.6.zip . StatRank_0.0.6.zip . StatRank_0.0.6.tgz . StatRank_0.0.6.tgz . StatRank_0.0.6.tgz . StatRank_0.0.6.tgz . StatRank_0.0.6.tgz . StatRank_0.0.6.tgz . StatRank archive . https://CRAN.R-project.org/package=StatRank .
First Published: 2013-11-18
Latest Update: 2015-09-09
Description:
A set of methods to implement Generalized Method of Moments and Maximal Likelihood methods for Random Utility Models. These methods are meant to provide inference on rank comparison data. These methods accept full, partial, and pairwise rankings, and provides methods to break down full or partial rankings into their pairwise components. Please see Generalized Method-of-Moments for Rank Aggregation from NIPS 2013 for a description of some of our methods.
How to cite:
Hossein Azari Soufiani (2013). StatRank: Statistical Rank Aggregation: Inference, Evaluation, and Visualization. R package version 0.0.6, https://cran.r-project.org/web/packages/StatRank. Accessed 29 Mar. 2025.
Previous versions and publish date:
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View StatRank citation profile
Other R packages that StatRank depends,
imports, suggests or enhances
Complete documentation for StatRank
Functions, R codes and Examples using
the StatRank R package
Some associated functions: Breaking . Data.Election1 . Data.Election6 . Data.Election9 . Data.Nascar . Data.NascarTrimmed . Data.Test . Estimation.GRUM.MLE . Estimation.Normal.GMM . Estimation.PL.GMM . Estimation.PL.MLE . Estimation.RUM.MLE . Estimation.RUM.MultiType.MLE . Estimation.RUM.Nonparametric . Estimation.Zemel.MLE . Evaluation.AveragePrecision . Evaluation.KL . Evaluation.KendallTau . Evaluation.LocationofWinner . Evaluation.MSE . Evaluation.NDCG . Evaluation.Precision.at.k . Evaluation.TVD . Expo.MultiType.Pairwise.Prob . Generate.NPRUM.Data . Generate.RUM.Data . Generate.RUM.Parameters . Generate.Zemel.Parameters . Generate.Zemel.Ranks.Pairs . KL . Likelihood.Nonparametric . Likelihood.PL . Likelihood.RUM.Multitype . Likelihood.RUM . Likelihood.Zemel . MSE . Normal.MultiType.Pairwise.Prob . Normal.Pairwise.Prob . PL.Pairwise.Prob . TVD . Visualization.Empirical . Visualization.MultiType . Visualization.Pairwise.Probabilities . Visualization.RUMplots . Zemel.Pairwise.Prob . convert.vector.to.list . generateC.model.Nonparametric . generateC.model . generateC . scores.to.order . scramble . turn_matrix_into_table .
Some associated R codes: Evaluation.R . Helpers.R . Metafunctions.R . Nascar-data.R . NascarTrimmed-data.R . Nonparametric.R . RandomUtilityModels.R . Visualization.R . Zemel.R . election1-data.R . election6-data.R . election9-data.R . slice_sampler.R . test-data.R . Full StatRank package functions and examples
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