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Frames2

0.2.1

Estimation in Dual Frame Surveys

0packages depend
3Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by David MolinaFirst published 2014-09-025 releasesCRAN page ↗

Point and interval estimation in dual frame surveys. In contrast to classic sampling theory, where only one sampling frame is considered, dual frame methodology assumes that there are two frames available for sampling and that, overall, they cover the entire target population. Then, two probability samples (one from each frame) are drawn and information collected is suitably combined to get estimators of the parameter of interest.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 3.1 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
97%
References docs
75%

Downloads

3K
CRAN downloads in the past year
Rank #13,708 · ~8/day · ~253/mo
Daily download trend is not available in this view yet.
18330 days
76290 days
3K1 year
Compare downloads with other packages →
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (0)
none
Imports (3)
samplingMASSnnet
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (4)
no longer listed · 0.0.3 to 0.2.1
no longer listed · 0.0.3 to 0.2.1
no longer listed · 0.0.3 to 0.2.1
no longer listed · 0.0.3 to 0.2.1
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.2.1Latest
    2015-12-12 · current release · diff ↗
  • 0.1.2
    2015-10-19 · diff ↗
  • 0.1.1
    2015-04-20 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 0.1.0
    2015-01-22 · diff ↗
Show 2 earlier events
  • 0.0.3
    2014-09-02
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-09-02
Total releases
5 / 12 yrs
License
GPL (>= 2) OSI
Bundled data
28 KB / 8 files
Download size
516 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Frames2")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Frames2 version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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