The Gaussian location-scale regression model is a multi-predictor model with explanatory variables for the mean (= location) and the standard deviation (= scale) of a response variable. This package implements maximum likelihood and Markov chain Monte Carlo (MCMC) inference (using algorithms from Girolami and Calderhead (2011) <doi:10.1111/j.1467-9868.2010.00765.x> and Nesterov (2009) <doi:10.1007/s10107-007-0149-x>), a parametric bootstrap algorithm, and diagnostic plots for the model class.
Version: 0.1.1 Depends: R (≥ 3.5.0) Imports: generics (≥ 0.1.0) Suggests: bookdown, coda, covr, ggplot2, knitr, mgcv, mvtnorm, numDeriv, patchwork, rmarkdown, testthat (≥ 3.0.0) Published: 2024-11-20 DOI: 10.32614/CRAN.package.lmls Author: Hannes Riebl [aut, cre] Maintainer: Hannes Riebl <hriebl at posteo.de> BugReports: https://github.com/hriebl/lmls/issues License: MIT + file LICENSE URL: https://hriebl.github.io/lmls/, https://github.com/hriebl/lmls NeedsCompilation: no Materials: README NEWS CRAN checks: lmls results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=lmls to link to this page.
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