rstanbdp: Bayesian Deming Regression for Method Comparison
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/>.
| Version: | 0.0.3 |
| 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) |
| Published: | 2024-07-26 |
| DOI: | 10.32614/CRAN.package.rstanbdp |
| Author: | Giorgio Pioda [aut, cre] |
| Maintainer: | Giorgio Pioda <gfwp at ticino.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README,NEWS |
| CRAN checks: | rstanbdp results |
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