Package: SEL 1.0-4
SEL: Semiparametric Elicitation
Implements a method for fitting a bounded probability distribution to quantiles (for example stated by an expert), see Bornkamp and Ickstadt (2009) for details. For this purpose B-splines are used, and the density is obtained by penalized least squares based on a Brier entropy penalty. The package provides methods for fitting the distribution as well as methods for evaluating the underlying density and cdf. In addition methods for plotting the distribution, drawing random numbers and calculating quantiles of the obtained distribution are provided.
Authors:
SEL_1.0-4.tar.gz
SEL_1.0-4.zip(r-4.5)SEL_1.0-4.zip(r-4.4)SEL_1.0-4.zip(r-4.3)
SEL_1.0-4.tgz(r-4.4-x86_64)SEL_1.0-4.tgz(r-4.4-arm64)SEL_1.0-4.tgz(r-4.3-x86_64)SEL_1.0-4.tgz(r-4.3-arm64)
SEL_1.0-4.tar.gz(r-4.5-noble)SEL_1.0-4.tar.gz(r-4.4-noble)
SEL_1.0-4.tgz(r-4.4-emscripten)SEL_1.0-4.tgz(r-4.3-emscripten)
SEL.pdf |SEL.html✨
SEL/json (API)
| # Install 'SEL' in R: |
| install.packages('SEL', repos = c('https://bbnkmp.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 12 months agofrom:7547bdc0d2. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-win-x86_64 | OK | Nov 22 2024 |
| R-4.5-linux-x86_64 | OK | Nov 22 2024 |
| R-4.4-win-x86_64 | OK | Nov 22 2024 |
| R-4.4-mac-x86_64 | OK | Nov 22 2024 |
| R-4.4-mac-aarch64 | OK | Nov 22 2024 |
| R-4.3-win-x86_64 | OK | Nov 22 2024 |
| R-4.3-mac-x86_64 | OK | Nov 22 2024 |
| R-4.3-mac-aarch64 | OK | Nov 22 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Semiparametric Elicitation of a bounded parameter. | SEL-package |
| Compare different elicitated densities. | comparePlot |
| Fit an SEL object | fit.SEL |
| Calculate posterior distribution for binomial model | getbinPost |
| Calculate the knot averages of a B-spline basis. | knotave |
| Find gamma given Delta | min_abs |
| Plotting an SEL object | plot.SEL |
| Evaluate the expert's density (or cdf) | predict.SEL |
| Calculate quantiles of an SEL object. | quantSEL |
| Simulate from the expert's distribution | rvSEL |
| Semiparametric Elicitation of a bounded parameter | SEL |
