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LMN  

Inference for Linear Models with Nuisance Parameters
View on CRAN: Click here


Download and install LMN package within the R console
Install from CRAN:
install.packages("LMN")

Install from Github:
library("remotes")
install_github("cran/LMN")

Install by package version:
library("remotes")
install_version("LMN", "1.1.3")



Attach the package and use:
library("LMN")
Maintained by
Martin Lysy
[Scholar Profile | Author Map]
First Published: 2022-02-15
Latest Update: 2022-08-22
Description:
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.
How to cite:
Martin Lysy (2022). LMN: Inference for Linear Models with Nuisance Parameters. R package version 1.1.3, https://cran.r-project.org/web/packages/LMN. Accessed 06 May. 2025.
Previous versions and publish date:
1.1.1 (2022-02-15 20:10), 1.1.2 (2022-02-28 11:00)
Other packages that cited LMN R package
View LMN citation profile
Other R packages that LMN depends, imports, suggests or enhances
Complete documentation for LMN
Functions, R codes and Examples using the LMN R package
Some associated functions: LMN-package . list2mniw . lmn_loglik . lmn_marg . lmn_post . lmn_prior . lmn_prof . lmn_suff . 
Some associated R codes: LMN-package.R . RcppExports.R . lmn_loglik.R . lmn_marg.R . lmn_post.R . lmn_prior.R . lmn_prof.R . lmn_suff.R . utils.R .  Full LMN package functions and examples
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