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), 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) <>.


Reference manual

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1.1.0 by Pedro Soares Figueiredo, 9 months ago,

Browse source code at

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

Documentation:   PDF Manual  

GPL-3 license

Imports MASS, Matrix, stats, matrixcalc

Suggests knitr, rmarkdown, TeachingSampling

See at CRAN