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.
- Version1.1.0
- R version≥ 3.5
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Last release05/01/2021
Documentation
Team
Pedro Soares Figueiredo
Kelly C. M. Gonçalves
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- Imports3 packages
- Suggests3 packages