Package: FastCUB 0.0.3

Rosaria Simone

FastCUB: Fast Estimation of CUB Models via Louis' Identity

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.

Authors:Rosaria Simone [aut, cre]

FastCUB_0.0.3.tar.gz
FastCUB_0.0.3.tar.gz(r-4.5-noble)FastCUB_0.0.3.tar.gz(r-4.4-noble)
FastCUB_0.0.3.tgz(r-4.4-emscripten)FastCUB_0.0.3.tgz(r-4.3-emscripten)
FastCUB.pdf |FastCUB.html✨
FastCUB/json (API)

# Install 'FastCUB' in R:
install.packages('FastCUB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • relgoods - Relational goods and Leisure time dataset
  • univer - Evaluation of the Orientation Services 2002

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 167 downloads 14 exports 2 dependencies

Last updated 9 months agofrom:d51216b95f. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-linuxOKNov 04 2024

Exports:bestcubbitcsibitgamacormatdissiminibestinibestgamalogismakeplotprobbitprobcub00probcub0qprobcubp0probcubpq

Dependencies:CUBFormula

Readme and manuals

Help Manual

Help pageTopics
Best-subset variable selection for CUB models via fast EM algorithmbestcub
S3 BIC method for class "fastCUB"BIC.fastCUB
Shifted Binomial probabilities of ordinal responsesbitcsi
Shifted Binomial distribution with covariatesbitgama
S3 Method: coef for class "fastCUB"coef.fastCUB
Correlation matrix for estimated modelcormat
Normalized dissimilarity measuredissim
Main function for fast estimation CUB modelsfastCUB
fastCUB packagefastCUB_package
S3 method "fitted" for class "fastCUB"fitted.fastCUB
Preliminary estimators for CUB models without covariatesinibest
Preliminary parameter estimates of a CUB model with covariates for feelinginibestgama
Recursive computation of the inverse of a matrixinvmatgen
The logistic transformlogis
logLik S3 Method for class "fastCUB"logLik.fastCUB
Plot facilities for fastCUB objectsmakeplot
S3 method: print for class "fastCUB"print.fastCUB
Probability distribution of a shifted Binomial random variableprobbit
Probability distribution of a CUB model without covariatesprobcub00
Probability distribution of a CUB model with covariates for the feeling componentprobcub0q
Probability distribution of a CUB model with covariates for the uncertainty componentprobcubp0
Probability distribution of a CUB model with covariates for both feeling and uncertaintyprobcubpq
Relational goods and Leisure time datasetrelgoods
S3 method: summary for class "fastCUB"summary.fastCUB
Evaluation of the Orientation Services 2002univer
S3 method vcov() for class "fastCUB"vcov.fastCUB