DESCRIPTION

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