LMN
Inference for Linear Models with Nuisance Parameters
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.3 |
rolling linux/jammy R-4.5 | LMN_1.1.3.tar.gz |
299.5 KiB |
1.1.3 |
rolling linux/noble R-4.5 | LMN_1.1.3.tar.gz |
302.1 KiB |
1.1.3 |
rolling source/ R- | LMN_1.1.3.tar.gz |
203.2 KiB |
1.1.3 |
latest linux/jammy R-4.5 | LMN_1.1.3.tar.gz |
299.5 KiB |
1.1.3 |
latest linux/noble R-4.5 | LMN_1.1.3.tar.gz |
302.1 KiB |
1.1.3 |
latest source/ R- | LMN_1.1.3.tar.gz |
203.2 KiB |
1.1.3 |
2026-04-26 source/ R- | LMN_1.1.3.tar.gz |
203.2 KiB |
1.1.3 |
2026-04-23 source/ R- | LMN_1.1.3.tar.gz |
203.2 KiB |
1.1.3 |
2026-04-09 windows/windows R-4.5 | LMN_1.1.3.zip |
619.9 KiB |
1.1.3 |
2025-04-20 source/ R- | LMN_1.1.3.tar.gz |
203.2 KiB |