Finds the posterior modes for the mean and standard deviation for a
truncated normal distribution with one or two known truncation points.
The method used extends Bayesian methods for parameter estimation for a singly
truncated normal distribution under the Jeffreys prior (see Zhou X,
Giacometti R, Fabozzi FJ, Tucker AH (2014). "Bayesian estimation of truncated
data with applications to operational risk measurement".
<doi:10.1080/14697688.2012.752103>). This package additionally allows for a
doubly truncated normal distribution.
Version: |
0.0.3 |
Depends: |
R (≥ 3.4.0) |
Imports: |
methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), Rdpack, rstan (≥ 2.18.1), rstantools (≥ 2.2.0), stats |
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) |
Suggests: |
testthat (≥ 3.0.0), truncnorm (≥ 1.0), withr (≥ 2.5.0) |
Published: |
2023-08-23 |
DOI: |
10.32614/CRAN.package.truncnormbayes |
Author: |
Mika Braginsky [aut],
Leon Tran [aut],
Maya Mathur [ctb],
Peter Solymos
[cre, ctb] |
Maintainer: |
Peter Solymos <peter at analythium.io> |
BugReports: |
https://github.com/mathurlabstanford/truncnormbayes/issues |
License: |
GPL (≥ 3) |
URL: |
https://github.com/mathurlabstanford/truncnormbayes,
https://mathurlabstanford.github.io/truncnormbayes/ |
NeedsCompilation: |
yes |
SystemRequirements: |
GNU make |
Materials: |
README NEWS |
CRAN checks: |
truncnormbayes results |