Bayes Linear Estimators for Finite Population

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) and to the Ratio estimator (using auxiliary information) - BLE_Ratio(). 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>.


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Reference manual

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install.packages("BayesSampling")

1.0.0 by Pedro Soares Figueiredo, 6 months ago


https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886, https://github.com/pedrosfig/BayesSampling


Browse source code at https://github.com/cran/BayesSampling


Authors: Pedro Soares Figueiredo [aut, cre] , Kelly C. M. Gonçalves [aut, ths]


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, Matrix, stats

Suggests knitr, rmarkdown, TeachingSampling


See at CRAN