DESCRIPTION

Package: bmm
Title: Easy and Accesible Bayesian Measurement Models using 'brms'
Version: 0.2.0
Authors@R: c(
    person("Vencislav", "Popov", , "vencislav.popov@gmail.com", role = c("aut", "cre", "cph")),
    person("Gidon", "Frischkorn", , "gidon.frischkorn@psychologie.uzh.ch", role = c("aut", "cph")))
Description: Wrapper functions and custom distributions that make it easier to estimate common 
    measurement models for using the 'brms' package. Currently implemented 
    are the two-parameter mixture model by Zhang and Luck (2008),the three-
    parameter mixture model by Bays et al (2009), and the Interference Measurement Model 
    (Oberauer et al., 2017).
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Suggests: 
    testthat (>= 3.0.0),
    glue,
    usethis,
    knitr,
    rmarkdown,
    bookdown,
    tidybayes,
    ggplot2,
    mixtur,
    ggthemes,
    cowplot,
    stringr
Config/testthat/edition: 3
Imports: 
    brms,
    magrittr,
    parallel,
    dplyr,
    withr,
    tidyr,
    stats,
    matrixStats,
    methods
URL: https://github.com/venpopov/bmm, https://venpopov.github.io/bmm/
BugReports: https://github.com/venpopov/bmm/issues
VignetteBuilder: knitr
Depends: 
    R (>= 2.10)
LazyData: true