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FastCUB (version 0.0.2)

Fast EM and Best-Subset Selection for CUB Models for Rating Data

Description

For ordinal rating data, consider the accelerated Expectation-Maximization algorithm to estimate and test models within the family of CUB models (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions). The procedure is built upon Louis' identity for the observed information matrix. Best-subset variable selection for CUB regression models is then implemented on such basis. The methods here implemented are illustrated and discussed in the preprint available from Researchgate by Simone R. (2020) .

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Version

Install

install.packages('FastCUB')

Monthly Downloads

178

Version

0.0.2

License

GPL-2 | GPL-3

Maintainer

Rosaria Simone

Last Published

February 12th, 2020

Functions in FastCUB (0.0.2)

Shifted Binomial distribution with covariates

S3 BIC method for class "fastCUB"

S3 method "fitted" for class "fastCUB"

fastCUB_package

fastCUB package

S3 Method: coef for class "fastCUB"

Hadamard product of a matrix with a vector

Shifted Binomial probabilities of ordinal responses

Preliminary parameter estimates of a CUB model with covariates for feeling

Correlation matrix for estimated model

Best-subset variable selection for CUB models via fast EM algorithm

Preliminary estimators for CUB models without covariates

Main function for CUB models without covariates

Log-likelihood function of a CUB model with covariates for the uncertainty component

Main function for CUB models with covariates for both the uncertainty and the feeling components

Main function for CUB models with covariates for the feeling component

The logistic transform

logLik S3 Method for class "fastCUB"

Louis' identity for the observed information matrix of the incomplete problem for CUB models

Main function for fast estimation CUB models

Auxiliary function for the log-likelihood estimation of CUB models

Main function for CUB models with covariates for the uncertainty component

Recursive computation of the inverse of a matrix

Probability distribution of a CUB model with covariates for both feeling and uncertainty

Sequence of combinatorial coefficients

Log-likelihood function of a CUB model with covariates for both feeling and uncertainty

S3 method: print for class "fastCUB"

Probability distribution of a CUB model with covariates for the uncertainty component

Relational goods and Leisure time dataset

Probability distribution of a shifted Binomial random variable

Plot facilities for fastCUB objects

Log-likelihood function of a CUB model without covariates

Generic function for coefficient names

summary.fastCUB

S3 method: summary for class "fastCUB"

Log-likelihood function of a CUB model with covariates for the feeling component

Probability distribution of a CUB model with covariates for the feeling component

Probability distribution of a CUB model without covariates

Evaluation of the Orientation Services 2002

S3 method vcov() for class "fastCUB"

Auxiliary function for the log-likelihood estimation of CUB models

Normalized dissimilarity measure