Package: truncnormbayes
Title: Estimates Moments for a Truncated Normal Distribution using
        'Stan'
Version: 0.0.2
Authors@R: c(
  person("Mika", "Braginsky", role = c("aut", "cre"), email = "mika.br@gmail.com"),
  person("Leon", "Tran", role = "aut", email = "leontk@stanford.edu"),
	person("Maya", "Mathur", role = "ctb", email = "mmathur@stanford.edu"))
Description: 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.
URL: https://github.com/leonkt/truncnormbayes
BugReports: https://github.com/leonkt/truncnormbayes/issues
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.1
Biarch: true
RdMacros: Rdpack
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)
Config/testthat/edition: 3
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2022-09-08 02:37:09 UTC; mbraginsky
Author: Mika Braginsky [aut, cre],
  Leon Tran [aut],
  Maya Mathur [ctb]
Maintainer: Mika Braginsky <mika.br@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-09 10:30:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 18:50:40 UTC; windows
Archs: i386, x64
