Package: abcel 1.0
Sanjay Chaudhuri
abcel: Empirical Likelihood-Based Approximate Bayesian Computation
Empirical likelihood-based approximate Bayesian Computation. Approximates the required posterior using empirical likelihood and estimated differential entropy. This is achieved without requiring any specification of the likelihood or estimating equations that connects the observations with the underlying parameters. The procedure is known to be posterior consistent. More details can be found in Chaudhuri, Ghosh, and Kim (2024) <doi:10.1002/SAM.11711>.
Authors:
abcel_1.0.tar.gz
abcel_1.0.tar.gz(r-4.7-any)abcel_1.0.tar.gz(r-4.6-any)
abcel_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
abcel/json (API)
| # Install 'abcel' in R: |
| install.packages('abcel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b9f60f8f89. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 99 | ||
| source / vignettes | OK | 195 | ||
| linux-release-x86_64 | OK | 127 | ||
| wasm-release | OK | 109 |
Dependencies:corpcoremplikFNNlatticeMASSMatrixMatrixModelsquantregSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Empirical Likelihood-based Approximate Bayesian Computation | abcel |
| New Entropy Estimator | entEst |