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.

Version:	1.1.2
Imports:	Rcpp (≥ 0.12.4.4), SuperGauss, stats
LinkingTo:	Rcpp, RcppEigen
Suggests:	testthat, numDeriv, mniw, knitr, rmarkdown, bookdown, kableExtra
Published:	2022-02-28
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:

Reference manual:	LMN.pdf
Vignettes:	Getting Started with LMN

Downloads:

Package source:	LMN_1.1.2.tar.gz
Windows binaries:	r-devel: LMN_1.1.2.zip, r-release: LMN_1.1.2.zip, r-oldrel: LMN_1.1.2.zip
macOS binaries:	r-release (arm64): LMN_1.1.2.tgz, r-oldrel (arm64): LMN_1.1.2.tgz, r-release (x86_64): LMN_1.1.2.tgz, r-oldrel (x86_64): LMN_1.1.2.tgz
Old sources:	LMN archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LMN to link to this page.