Package: ContRespPP
Title: Predictive Probability for a Continuous Response with an ANOVA
        Structure
Version: 0.4.2
Authors@R: c(
    person(given = "Victoria",
           family = "Sieck",
           role = c("aut", "cre"),
           email = "vcarrillo314@gmail.com",
           comment = c(ORCID = "0000-0002-7169-7795")),
    person(given = "Joshua",
           family = "Clifford",
           role = "aut",
           email = "jcliff89@gmail.com",
           comment = c(ORCID = "0000-0002-6969-2581")),
    person(given = "Fletcher",
           family = "Christensen",
           role = "aut",
           email = "ronald@stat.unm.edu",
           comment = c(ORCID = "0000-0002-5303-8139"))
    )
Description: A Bayesian approach to using predictive probability in an
        ANOVA construct with a continuous normal response, when
        threshold values must be obtained for the question of interest
        to be evaluated as successful (Sieck and Christensen (2021)
        <doi:10.1002/qre.2802>). The Bayesian Mission Mean (BMM) is
        used to evaluate a question of interest (that is, a mean that
        randomly selects combination of factor levels based on their
        probability of occurring instead of averaging over the factor
        levels, as in the grand mean). Under this construct, in
        contrast to a Gibbs sampler (or Metropolis-within-Gibbs
        sampler), a two-stage sampling method is required. The nested
        sampler determines the conditional posterior distribution of
        the model parameters, given Y, and the outside sampler
        determines the marginal posterior distribution of Y (also
        commonly called the predictive distribution for Y). This
        approach provides a sample from the joint posterior
        distribution of Y and the model parameters, while also
        accounting for the threshold value that must be obtained in
        order for the question of interest to be evaluated as
        successful.
URL: https://github.com/jcliff89/ContRespPP
BugReports: https://github.com/jcliff89/ContRespPP/issues
License: CC0
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Imports: stats
Suggests: rjags, coda, knitr, devtools, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
Config/testthat/edition: 3
Repository: https://jcliff89.r-universe.dev
Date/Publication: 2022-10-13 23:37:44 UTC
RemoteUrl: https://github.com/jcliff89/contresppp
RemoteRef: HEAD
RemoteSha: de7f162c5412e6a889fcc52d16da32c19f74c0e9
NeedsCompilation: no
Packaged: 2026-10-08 12:55:43 UTC; root
Author: Victoria Sieck [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-7169-7795>),
  Joshua Clifford [aut] (ORCID: <https://orcid.org/0000-0002-6969-2581>),
  Fletcher Christensen [aut] (ORCID:
    <https://orcid.org/0000-0002-5303-8139>)
Maintainer: Victoria Sieck <vcarrillo314@gmail.com>