E_theta_Reg

explicative variable of the sample

values of X for the individuals not in the sample

x_nots

calculates the BLE for the individuals not in the sample

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 Gon<c3><a7>alves, K.C.M, Moura, F.A.S and Migon, H.S.(2014) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886>.

Pedro Soares Figueiredo

E_theta_Reg: calculates the BLE for the individuals not in the sample

Description

Usage

Arguments