DESCRIPTION

Package: isdbayes
Type: Package
Title: Bayesian Hierarchical Modeling of Power Laws using brms
Version: 0.1.0
Authors@R: c(person("Jeff", "Wesner", email = "jeff.wesner@usd.edu", role = c("aut", "cre")),
            (person("Justin", "Pomeranz", email = "jfpomeranz@gmail.com", role = "aut")))
Description: Estimates the exponent of a power law from one or more samples using Generalized (non)-linear mixed models in brms.
    The package adds a doubly-truncated Pareto family to brms. It will also simulate data from the doubly-truncated Pareto and
    and generate plots of posterior fits to data. Most other built-in features of brms, such as conditional_effects() and posterior
    sampoing will also work. 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports:
    brms,
    dplyr,
    tidyr
Suggests:
    knitr,
    rmarkdown,
    tidybayes
RoxygenNote: 7.2.3
VignetteBuilder: knitr
URL: https://jswesner.github.io/isdbayes/