Package: BayesSampling 1.1.0

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>.

Authors:Pedro Soares Figueiredo [aut, cre], Kelly C. M. Gonçalves [aut, ths]

BayesSampling_1.1.0.tar.gz
BayesSampling_1.1.0.zip(r-4.7)BayesSampling_1.1.0.zip(r-4.6)BayesSampling_1.1.0.zip(r-4.5)
BayesSampling_1.1.0.tgz(r-4.6-any)BayesSampling_1.1.0.tgz(r-4.5-any)
BayesSampling_1.1.0.tar.gz(r-4.7-any)BayesSampling_1.1.0.tar.gz(r-4.6-any)
BayesSampling_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesSampling/json (API)

# Install 'BayesSampling' in R:
install.packages('BayesSampling', repos = c('https://pedrosfig.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pedrosfig/bayessampling/issues

Datasets:
  • BigCity - Full Person-level Population Database

On CRAN:

Conda:

bayesianestimatorsampling

4.56 score 1 stars 12 scripts 285 downloads 5 exports 4 dependencies

Last updated from:13095496b1. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE121
source / vignettesOK148
linux-release-x86_64NOTE114
macos-release-arm64NOTE135
macos-oldrel-arm64NOTE127
windows-develNOTE86
windows-releaseNOTE80
windows-oldrelNOTE121
wasm-releaseOK106

Exports:BLE_CategoricalBLE_RatioBLE_RegBLE_SRSBLE_SSRS

Dependencies:latticeMASSMatrixmatrixcalc

BayesSampling

Rendered fromBayesSampling.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2020-04-10
Started: 2020-02-18

BLE_Categorical

Rendered fromBLE_Categorical.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2021-05-01
Started: 2021-03-21

BLE_Ratio

Rendered fromBLE_Ratio.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2020-11-23
Started: 2020-02-18

BLE_Reg

Rendered fromBLE_Reg.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2020-04-10
Started: 2020-02-18

BLE_SRS

Rendered fromBLE_SRS.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2021-03-21
Started: 2020-02-18

BLE_SSRS

Rendered fromBLE_SSRS.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2020-11-23
Started: 2020-02-18