Package: MMDai 2.0.0
MMDai: Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Categorical Data
A method to impute the missingness in categorical data. Details see the paper <doi:10.4310/SII.2020.v13.n1.a2>.
Authors:
MMDai_2.0.0.tar.gz
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MMDai.pdf |MMDai.html✨
MMDai/json (API)
# Install 'MMDai' in R: |
install.packages('MMDai', repos = c('https://saki-jsu.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- MovieRate - Real application dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:f290beb15d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:GenerateDataImputationInitialPsikIdentifierParEstrdirichlet
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Generate random dataset | GenerateData |
Imputation | Imputation |
initial psi | InitialPsi |
Identify the suitable number of components k | kIdentifier |
Real application dataset | MovieRate |
Estimate theta and psi in multinomial mixture model | ParEst |
Estimate theta and psi in multinomial mixture model | rdirichlet |