V_theta_Reg

explicative variable of the sample

values of X for the individuals not in the sample

x_nots

covariance matrix of the individuals not in the sample

V_nots

calculates the risk matrix associated with 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>.

V_theta_Reg: calculates the risk matrix associated with the BLE for the individuals not in the sample

Description

Usage

Arguments