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FastCUB (version 0.0.3)

Fast Estimation of CUB Models via Louis' Identity

Description

For ordinal rating data, consider the accelerated EM 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 is then implemented since it becomes more feasible from the computational point of view.

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Install

install.packages('FastCUB')

Monthly Downloads

178

Version

0.0.3

License

GPL-2 | GPL-3

Maintainer

Rosaria Simone

Last Published

March 8th, 2024

Functions in FastCUB (0.0.3)

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

S3 method "fitted" for class "fastCUB"

Preliminary parameter estimates of a CUB model with covariates for feeling

Generic function for coefficient names

Plot facilities for fastCUB objects

The logistic transform

Main function for CUB models without covariates

Sequence of combinatorial coefficients

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

fastCUB_package

fastCUB package

Main function for CUB models with covariates for the uncertainty component

logLik S3 Method for class "fastCUB"

Recursive computation of the inverse of a matrix

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

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

Probability distribution of a CUB model without covariates

Evaluation of the Orientation Services 2002

Log-likelihood function of a CUB model without covariates

Main function for CUB models with covariates for the feeling component

S3 method: print for class "fastCUB"

S3 method vcov() for class "fastCUB"

Auxiliary function for the log-likelihood estimation of CUB models

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

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

Main function for fast estimation CUB models

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

Probability distribution of a shifted Binomial random variable

summary.fastCUB

S3 method: summary for class "fastCUB"

Relational goods and Leisure time dataset

S3 BIC method for class "fastCUB"

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

S3 Method: coef for class "fastCUB"

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

Auxiliary function for the log-likelihood estimation of CUB models

Hadamard product of a matrix with a vector

Shifted Binomial probabilities of ordinal responses

Correlation matrix for estimated model

Shifted Binomial distribution with covariates

Normalized dissimilarity measure

Preliminary estimators for CUB models without covariates