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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>.
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Package details |
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| Author | Pedro Soares Figueiredo [aut, cre] (<https://orcid.org/0000-0003-2279-2881>), Kelly C. M. Gonçalves [aut, ths] (<https://orcid.org/0000-0002-4524-547X>) |
| Maintainer | Pedro Soares Figueiredo <pedrosfig@hotmail.com> |
| License | GPL-3 |
| Version | 1.1.0 |
| URL | https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886 https://github.com/pedrosfig/BayesSampling |
| Package repository | View on CRAN |
| Installation |
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