Package: likelihoodAsy 0.51
likelihoodAsy: Functions for Likelihood Asymptotics
Functions for computing the r and r* statistics for inference on an arbitrary scalar function of model parameters, plus some code for the (modified) profile likelihood.
Authors:
likelihoodAsy_0.51.tar.gz
likelihoodAsy_0.51.zip(r-4.7-any)likelihoodAsy_0.51.zip(r-4.6-any)likelihoodAsy_0.51.zip(r-4.5-any)
likelihoodAsy_0.51.tgz(r-4.6-any)likelihoodAsy_0.51.tgz(r-4.5-any)
likelihoodAsy_0.51.tar.gz(r-4.7-any)likelihoodAsy_0.51.tar.gz(r-4.6-any)
likelihoodAsy_0.51.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
likelihoodAsy/json (API)
| # Install 'likelihoodAsy' in R: |
| install.packages('likelihoodAsy', repos = c('https://rugbel.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- finndat - Data from Finney
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8c3cd55b0f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 120 | ||
| source / vignettes | OK | 200 | ||
| linux-release | OK | 113 | ||
| macos-release | OK | 171 | ||
| macos-oldrel | OK | 173 | ||
| windows-devel | OK | 75 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 95 |
Exports:logMPLlogPLrstarrstar.cirstar.ci.control
Dependencies:alabamacodetoolsconddigestfuturefuture.applyglobalslatticelistenvMatrixnleqslvnumDerivparallellypracmaRcppRcppArmadilloRsolnpstatmodsurvivaltruncnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The R likelihoodAsy Package | likelihoodAsy-package likelihoodAsy |
| Data from Finney (1947) | finndat |
| Modified profile likelihood computation | logMPL |
| Profile likelihood computation | logPL |
| Inference on a scalar function of interest by the r* statistic | rstar |
| Confidence intervals on a scalar function of interest by the r* statistic | rstar.ci |
| Auxiliary function for controlling computation of r*-based confidence intervals | rstar.ci.control |