Package: MLEce 2.1.0
MLEce: Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions
Asymptotic efficient closed-form estimators (MLEces) are provided in this package for three multivariate distributions(gamma, Weibull and Dirichlet) whose maximum likelihood estimators (MLEs) are not in closed forms. Closed-form estimators are strong consistent, and have the similar asymptotic normal distribution like MLEs. But the calculation of MLEces are much faster than the corresponding MLEs. Further details and explanations of MLEces can be found in. Jang, et al. (2023) <doi:10.1111/stan.12299>. Kim, et al. (2023) <doi:10.1080/03610926.2023.2179880>.
Authors:
MLEce_2.1.0.tar.gz
MLEce_2.1.0.zip(r-4.7-any)MLEce_2.1.0.zip(r-4.6-any)MLEce_2.1.0.zip(r-4.5-any)
MLEce_2.1.0.tgz(r-4.6-any)MLEce_2.1.0.tgz(r-4.5-any)
MLEce_2.1.0.tar.gz(r-4.7-any)MLEce_2.1.0.tar.gz(r-4.6-any)
MLEce_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MLEce/json (API)
| # Install 'MLEce' in R: |
| install.packages('MLEce', repos = c('https://ijun2018.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ijun2018/mlece/issues
- flood - The flood events data of the Madawaska basin.
- fossil_pollen - The counts data of the frequency of occurrence of different kinds of fossil pollen grains.
Last updated from:d20a9ef7d8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 157 | ||
| source / vignettes | OK | 143 | ||
| linux-release | OK | 129 | ||
| macos-release | OK | 208 | ||
| macos-oldrel | OK | 204 | ||
| windows-devel | OK | 105 | ||
| windows-release | OK | 95 | ||
| windows-oldrel | OK | 108 | ||
| wasm-release | OK | 99 |
Exports:benchMLEceconfCIgofMLEcerBiGamrBiWei
Dependencies:admiscCDMclicpp11farverggplot2gluegtableisobandlabelingLaplacesDemonlatticelifecycleMatrixmvtnormnleqslvpbapplypbvplyrpolycorR6RColorBrewerRcppRcppArmadilloreshaperlangS7scalessirtTAMvctrsviridisLitewithr
