CRAN/E | BayesSampling

BayesSampling

Bayes Linear Estimators for Finite Population

Installation

About

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) .

www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886
github.com/pedrosfig/BayesSampling

Key Metrics

Version 1.1.0
R ≥ 3.5
Published 2021-05-01 1063 days ago
Needs compilation? no
License GPL-3
CRAN checks BayesSampling results
Language en-US

Downloads

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Maintainer

Maintainer

Pedro Soares Figueiredo

pedrosfig@hotmail.com

Authors

Pedro Soares Figueiredo

aut / cre

Kelly C. M. Gonçalves

aut / ths

Material

README
Reference manual
Package source

Vignettes

BLE_Categorical
BLE_Ratio
BLE_Reg
BLE_SRS
BLE_SSRS
BayesSampling

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BayesSampling archive

Depends

R ≥ 3.5

Imports

MASS
Matrix
stats
matrixcalc

Suggests

knitr
rmarkdown
TeachingSampling