Package: profileCI 1.1.1
profileCI: Profiling a Log-Likelihood to Calculate Confidence Intervals
Provides tools for profiling a user-supplied log-likelihood function to calculate confidence intervals for model parameters. Speed of computation can be improved by adjusting the step sizes in the profiling and/or starting the profiling from limits based on the approximate large sample normal distribution for the maximum likelihood estimator of a parameter. The accuracy of the limits can be set by the user. A plot method visualises the log-likelihood and confidence interval. Cases where the profile log-likelihood flattens above the value at which a confidence limit is defined can be handled, leading to a limit at plus or minus infinity. Disjoint confidence intervals will not be found.
Authors:
profileCI_1.1.1.tar.gz
profileCI_1.1.1.zip(r-4.7)profileCI_1.1.1.zip(r-4.6)profileCI_1.1.1.zip(r-4.5)
profileCI_1.1.1.tgz(r-4.6-any)profileCI_1.1.1.tgz(r-4.5-any)
profileCI_1.1.1.tar.gz(r-4.7-any)profileCI_1.1.1.tar.gz(r-4.6-any)
profileCI_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
profileCI/json (API)
NEWS
| # Install 'profileCI' in R: |
| install.packages('profileCI', repos = c('https://paulnorthrop.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/paulnorthrop/profileci/issues
Pkgdown/docs site:https://paulnorthrop.github.io
confidence-intervalconfidence-intervalslikelihood-basedlog-likelihoodlog-likelihood-functionsstatistical-uncertaintiesuncertainty-estimation
Last updated from:bbe3d2057e. Checks:9 OK. Indexed: yes.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| profileCI: Profiling a Log-Likelihood to Calculate Confidence Intervals | profileCI-package |
| Calculate Log-Likelihood | logLikFn logLikFn.glm logLikFn.nls |
| Confidence Intervals using Profile Likelihood | profileCI |
| Methods for objects of class '"profileCI"' | plot.profileCI print.profileCI profileCI_methods |
