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.
Version: 1.1.3 Imports: Rcpp (≥ 0.12.4.4), SuperGauss, stats LinkingTo: Rcpp, RcppEigen Suggests: testthat, numDeriv, mniw, knitr, rmarkdown, bookdown, kableExtra Published: 2022-08-22 DOI: 10.32614/CRAN.package.LMN Author: Martin Lysy [aut, cre], Bryan Yates [aut] Maintainer: Martin Lysy <mlysy at uwaterloo.ca> BugReports: https://github.com/mlysy/LMN/issues License: GPL-3 URL: https://github.com/mlysy/LMN NeedsCompilation: yes Materials: NEWS CRAN checks: LMN results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=LMN to link to this page.
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