Package: rstanbdp
Title: Bayesian Deming Regression for Method Comparison
Version: 0.0.3
Maintainer: Giorgio Pioda <gfwp@ticino.com>
Authors@R: 
    person("Giorgio", "Pioda", ,"gfwp@ticino.com",
    role = c("aut","cre"), comment=c(ORCID="0000-0002-8714-8678"))
Description: Regression methods to quantify the relation 
    between two measurement methods are provided by this package. The
    focus is on a Bayesian Deming regressions family. With a Bayesian
    method the Deming regression can be run in a traditional fashion or
    can be run in a robust way just decreasing the degree of freedom
    d.f. of the sampling distribution. With d.f. = 1 an extremely robust
    Cauchy distribution can be sampled. Moreover, models for dealing
    with heteroscedastic data are also provided. For reference see
    G. Pioda (2024) <https://piodag.github.io/bd1/>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.1
Biarch: true
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
        2.18.1), rstantools (>= 2.4.0), rrcov, mixtools, bayestestR,
        KernSmooth
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>=
        2.18.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-07-26 13:45:42 UTC; gfwp
Author: Giorgio Pioda [aut, cre] (<https://orcid.org/0000-0002-8714-8678>)
Repository: CRAN
Date/Publication: 2024-07-26 14:30:07 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-04-25 16:32:59 UTC; windows
Archs: x64
