Bayes Linear Estimators for Finite Population R package BayesSampling version 1.1.0 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>. Software Depends: R (>= 3.5) Imports: MASS, Matrix, stats, matrixcalc Suggests: knitr, rmarkdown, TeachingSampling Pedro Soares Figueiredo <pedrosfig@hotmail.com> Comprehensive R Archive Network (CRAN) Pedro Soares Figueiredo [aut, cre] (ORCID: <https://orcid.org/0000-0003-2279-2881>), Kelly C. M. Gonçalves [aut, ths] (ORCID: <https://orcid.org/0000-0002-4524-547X>) GPL-3 2021-05-01 application/tgz https://CRAN.R-project.org/package=BayesSampling doi:10.32614/CRAN.package.BayesSampling en-US