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BayesSampling

Bayes Linear Estimators for Finite Population

v1.1.0 · May 1, 2021 · GPL-3

Description

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>.

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dependencies in R code

Namespaces in Imports field not imported from:
  ‘MASS’ ‘Matrix’ ‘matrixcalc’ ‘stats’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘MASS’ ‘Matrix’ ‘matrixcalc’ ‘stats’
  All declared Imports should be used.
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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespaces in Imports field not imported from:
  ‘MASS’ ‘Matrix’ ‘matrixcalc’ ‘stats’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘MASS’ ‘Matrix’ ‘matrixcalc’ ‘stats’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies MASS Matrix matrixcalc BayesSampling

Version History

new 1.1.0 Mar 10, 2026