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LMN
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]
[Scholar Profile | Author Map]
All associated links for this package
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 21 Nov. 2024.
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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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