Package: deconvolveR 1.2-2
deconvolveR: Empirical Bayes Estimation Strategies
Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical Bayes methods. Details and examples are in the paper by Narasimhan and Efron (2020, <doi:10.18637/jss.v094.i11>).
Authors:
deconvolveR_1.2-2.tar.gz
deconvolveR_1.2-2.zip(r-4.7-any)deconvolveR_1.2-2.zip(r-4.6-any)deconvolveR_1.2-2.zip(r-4.5-any)
deconvolveR_1.2-2.tgz(r-4.6-any)deconvolveR_1.2-2.tgz(r-4.5-any)
deconvolveR_1.2-2.tar.gz(r-4.7-any)deconvolveR_1.2-2.tar.gz(r-4.6-any)
deconvolveR_1.2-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
deconvolveR/json (API)
| # Install 'deconvolveR' in R: |
| install.packages('deconvolveR', repos = c('https://bnaras.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bnaras/deconvolver/issues
Pkgdown/docs site:https://bnaras.github.io
- bardWordCount - Shakespeare word counts in the entire canon: 14,376 distinct words appeared exactly once, 4343 words appeared twice etc.
- disjointTheta - A set of Theta values that have a bimodal distribution for testing
- surg - Intestinal surgery data involving 844 cancer patients. The data consists of pairs (n_i, s_i) where n_i is the number of satellites removed and s_i is the number of satellites found to be malignant.
Last updated from:059764c5e9. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 120 | ||
| source / vignettes | OK | 194 | ||
| linux-release | OK | 144 | ||
| macos-release | OK | 84 | ||
| macos-oldrel | OK | 95 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 54 | ||
| wasm-release | OK | 75 |
Exports:deconv
Dependencies:
