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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.
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Package details |
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| Author | Martin Lysy [aut, cre], Bryan Yates [aut] |
| Maintainer | Martin Lysy <mlysy@uwaterloo.ca> |
| License | GPL-3 |
| Version | 1.1.3 |
| URL | https://github.com/mlysy/LMN |
| Package repository | View on CRAN |
| Installation |
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