profileCI
1.1.1Profiling a Log-Likelihood to Calculate Confidence Intervals
Overview
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.
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Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 92%
- Return-value docs
- 100%
- References docs
- 0%
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Checks run against github.com/paulnorthrop/profileci on 2026-07-19.
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Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.1.1Latest
- 1.1.02025-07-11 · diff ↗
- 1.0.02025-06-04
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-06-04
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 58 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet