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>.
| Version: | 1.1.0 | 
| Depends: | R (≥ 3.5) | 
| Imports: | MASS, Matrix, stats, matrixcalc | 
| Suggests: | knitr, rmarkdown, TeachingSampling | 
| Published: | 2021-05-01 | 
| DOI: | 10.32614/CRAN.package.BayesSampling | 
| Author: | Pedro Soares Figueiredo | 
| Maintainer: | Pedro Soares Figueiredo <pedrosfig at hotmail.com> | 
| License: | GPL-3 | 
| URL: | https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886, https://github.com/pedrosfig/BayesSampling | 
| NeedsCompilation: | no | 
| Language: | en-US | 
| Materials: | README | 
| CRAN checks: | BayesSampling results | 
| Reference manual: | BayesSampling.html , BayesSampling.pdf | 
| Vignettes: | BLE_Categorical (source, R code) BLE_Ratio (source, R code) BLE_Reg (source, R code) BLE_SRS (source, R code) BLE_SSRS (source, R code) BayesSampling (source, R code) | 
| Package source: | BayesSampling_1.1.0.tar.gz | 
| Windows binaries: | r-devel: BayesSampling_1.1.0.zip, r-release: BayesSampling_1.1.0.zip, r-oldrel: BayesSampling_1.1.0.zip | 
| macOS binaries: | r-release (arm64): BayesSampling_1.1.0.tgz, r-oldrel (arm64): BayesSampling_1.1.0.tgz, r-release (x86_64): BayesSampling_1.1.0.tgz, r-oldrel (x86_64): BayesSampling_1.1.0.tgz | 
| Old sources: | BayesSampling archive | 
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