Inference for Linear Models with Nuisance Parameters
Overview
Efficient Frequentist profiling and Bayesian marginalization of parameters for which the conditional likelihood is that of a multivariate linear regression model. Arbitrary inter-observation error correlations are supported, with optimized calculations provided for independent-heteroskedastic and stationary dependence structures.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 8includes a package overview page
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 86%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Checks run against github.com/mlysy/lmn on 2026-10-18.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing LMN adds 5 packages (4 with compiled code, 3.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, SuperGauss 299 KB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.1.3Latest
- RR 4.2.0 released · 2022-04-22
- 1.1.22022-02-28 · diff ↗
- 1.1.12022-02-15
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-02-15
- Total releases
- 3 / 4 yrs
- License
- GPL-3 OSI
- Download size
- 203 KB
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