# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "BayesSampling" in publications use:'
type: software
license: GPL-3.0-only
title: 'BayesSampling: Bayes Linear Estimators for Finite Population'
version: 1.1.0
abstract: Allows the user to apply the Bayes Linear approach to finite population
  with the Simple Random Sampling - BLE_SRS() - and the Stratified Simple Random Sampling
  design - BLE_SSRS() - (both without replacement), to the Ratio estimator (using
  auxiliary information) - BLE_Ratio() - and to categorical data - BLE_Categorical().
  The Bayes linear estimation approach is applied to a general linear regression model
  for finite population prediction in BLE_Reg() and it is also possible to achieve
  the design based estimators using vague prior distributions. Based on Gonçalves,
  K.C.M, Moura, F.A.S and Migon, H.S.(2014) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886>.
authors:
- family-names: Soares Figueiredo
  given-names: Pedro
  email: pedrosfig@hotmail.com
  orcid: https://orcid.org/0000-0003-2279-2881
- family-names: M. Gonçalves
  given-names: Kelly C.
  email: kelly@dme.ufrj.br
  orcid: https://orcid.org/0000-0002-4524-547X
repository: https://CRAN.R-project.org/package=BayesSampling
repository-code: https://github.com/pedrosfig/BayesSampling
url: https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886
date-released: '2021-04-24'
contact:
- family-names: Soares Figueiredo
  given-names: Pedro
  email: pedrosfig@hotmail.com
  orcid: https://orcid.org/0000-0003-2279-2881