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StatRank
Version 0.0.6 in development
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install.packages('StatRank')
Monthly Downloads
263
Version
0.0.6
License
GPL (>= 2)
Maintainer
Hossein Azari Soufiani
Last Published
September 9th, 2015
Functions in StatRank (0.0.6)
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Estimation.Normal.GMM
GMM Method for Estimating Random Utility Model wih Normal dsitributions
Data.NascarTrimmed
Trimmed Nascar Data
PL.Pairwise.Prob
Pairwise Probability for PL Model
Estimation.RUM.Nonparametric
Nonparametric RUM Estimator
Normal.Pairwise.Prob
Pairwise Probability for Normal Model
Data.Election9
A9 Election Data
Breaking
Breaks full or partial orderings into pairwise comparisons
Estimation.PL.GMM
GMM Method for estimating Plackett-Luce model parameters
Evaluation.KL
Calculates KL divergence between empirical pairwise preferences and modeled pairwise preferences
Estimation.RUM.MLE
Performs parameter estimation for a Random Utility Model with different noise distributions
Data.Nascar
Nascar Data
Likelihood.Nonparametric
Calculate Likelihood for the nonparametric model
MSE
Calculates MSE between non-diagonal entries of two matrices if the diagonal elements are 0s
Data.Test
Tiny test dataset
Data.Election6
A6 Election Data
scramble
Scramble a vector
Evaluation.KendallTau
Calculates the Kendall Tau correlation between two ranks
Estimation.PL.MLE
Performs parameter estimation for the Plackett-Luce model using an Minorize Maximize algorithm
Data.Election1
A1 Election Data
Generate.RUM.Parameters
Parameter Generation for a RUM model
Estimation.GRUM.MLE
Performs parameter estimation for a Generalized Random Utility Model with user and alternative characteristics
Likelihood.Zemel
Gives Zemel pairwise Log-likelihood with data and scores
Likelihood.RUM.Multitype
Likelihood for Multitype Random Utility Models
Generate.Zemel.Parameters
Generates possible scores for a Zemel model
Estimation.RUM.MultiType.MLE
Performs parameter estimation for a Multitype Random Utility Model
Evaluation.MSE
Calculates MSE between empirical pairwise preferences and modeled pairwise preferences
Visualization.RUMplots
RUMplot visualization
Expo.MultiType.Pairwise.Prob
Pairwise Probability for PL Multitype Model
Evaluation.AveragePrecision
Calculates the Average Precision
Generate.Zemel.Ranks.Pairs
Generates pairwise ranks from a Zemel model given a set of scores
Evaluation.Precision.at.k
Calculates the Average Precision at k
generateC
Generate a matrix of pairwise wins
Likelihood.PL
A faster Likelihood for Plackett-Luce Model
KL
Calculates KL Divergence between non-diagonal entries of two matrices
Generate.RUM.Data
Generate observation of ranks given parameters
TVD
Calculates TVD between two matrices
Visualization.Empirical
RPD Visualization
turn_matrix_into_table
Converts a matrix into a table
Estimation.Zemel.MLE
Estimates Zemel Parameters via Gradient Descent
convert.vector.to.list
Helper function for the graphing interface
Evaluation.LocationofWinner
Calculates the location of the True winner in the estimated ranking
Generate.NPRUM.Data
Generate data from an NPRUM model
Evaluation.NDCG
Calculates the Normalized Discounted Cumluative Gain
generateC.model.Nonparametric
Generate pairwise matrix for an NPRUM model
Likelihood.RUM
Likelihood for general Random Utility Models
scores.to.order
Converts scores to a ranking
Visualization.Pairwise.Probabilities
Creates pairwise matrices to compare inference results with the empirical pairwise probabilities
Zemel.Pairwise.Prob
Pairwise Probability for Zemel
Visualization.MultiType
Multitype Random Utility visualizer
Normal.MultiType.Pairwise.Prob
Pairwise Probability for Normal Multitype Model
generateC.model
Turns inference object into modeled C matrix.
Evaluation.TVD
Calculates TVD between empirical pairwise preferences and modeled pairwise preferences