README.md
In mlysy/LMN: Inference for Linear Models with Nuisance Parameters
LMN: Inference for Linear Models with Nuisance Parameters
Martin Lysy, Bryan Yates
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.
Installation
Install the R package devtools and run
devtools::install_github("mlysy/LMN")
Usage
Please see package vignette: vignette("LMN").
mlysy/LMN documentation built on March 25, 2022, 11:12 a.m.
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LMN: Inference for Linear Models with Nuisance Parameters
Martin Lysy, Bryan Yates
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.
Installation
Install the R package devtools and run
devtools::install_github("mlysy/LMN")
Usage
Please see package vignette: vignette("LMN").
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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