Package: lmls
Title: Gaussian Location-Scale Regression
Version: 0.1.1
Authors@R: person("Hannes", "Riebl", email = "hriebl@posteo.de",
                  role = c("aut", "cre"))
Description: 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.
License: MIT + file LICENSE
URL: https://hriebl.github.io/lmls/, https://github.com/hriebl/lmls
BugReports: https://github.com/hriebl/lmls/issues
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)
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Config/testthat/edition: 3
Repository: https://hriebl.r-universe.dev
Date/Publication: 2024-11-12 23:33:06 UTC
RemoteUrl: https://github.com/hriebl/lmls
RemoteRef: HEAD
RemoteSha: 16f8568877cc6707a63b1cf2d5d0fc32af006f87
NeedsCompilation: no
Packaged: 2026-09-21 10:41:34 UTC; root
Author: Hannes Riebl [aut, cre]
Maintainer: Hannes Riebl <hriebl@posteo.de>