Bayes Linear Estimators for Finite Population
Overview
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.
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from: ‘MASS’ ‘Matrix’ ‘matrixcalc’ ‘stats’ All declared Imports should be used.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 14
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 43%
- BayesSampling HTML
- BLE_Categorical HTML
- BLE_Ratio HTML
- BLE_Reg HTML
- BLE_SRS HTML
- BLE_SSRS HTML
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/pedrosfig/bayessampling on 2026-10-25.
Dependencies
Installing BayesSampling adds 1 package (0 with compiled code, 30 KB of source tarballs). Heaviest: matrixcalc 30 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.1.0Latest
- 1.0.02020-04-24
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-04-24
- Total releases
- 2 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 611 KB / 1 file
- Download size
- 656 KB
Cite
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