Package: BayesSampling 1.1.0

BayesSampling: 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) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886>.

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

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Peer review:

Bug tracker:https://github.com/pedrosfig/bayessampling/issues

On CRAN:

bayesianestimatorsampling

5 exports 1 stars 0.74 score 4 dependencies 224 downloads

Last updated 3 years agofrom:13095496b1

Exports:BLE_CategoricalBLE_RatioBLE_RegBLE_SRSBLE_SSRS

Dependencies:latticeMASSMatrixmatrixcalc