Package: TSEwgt 0.1.0
TSEwgt: Total Survey Error Under Multiple, Different Weighting Schemes
Calculates total survey error (TSE) for a survey under multiple, different weighting schemes, using both scale-dependent and scale-independent metrics. Package works directly from the data set, with no hand calculations required: just upload a properly structured data set (see TESTWGT and its documentation), properly input column names (see functions documentation), and run your functions. For more on TSE, see: Weisberg, Herbert (2005, ISBN:0-226-89128-3); Biemer, Paul (2010) <doi:10.1093/poq/nfq058>; Biemer, Paul et.al. (2017, ISBN:9781119041672); etc.
Authors:
TSEwgt_0.1.0.tar.gz
TSEwgt_0.1.0.zip(r-4.5)TSEwgt_0.1.0.zip(r-4.4)TSEwgt_0.1.0.zip(r-4.3)
TSEwgt_0.1.0.tgz(r-4.4-any)TSEwgt_0.1.0.tgz(r-4.3-any)
TSEwgt_0.1.0.tar.gz(r-4.5-noble)TSEwgt_0.1.0.tar.gz(r-4.4-noble)
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TSEwgt.pdf |TSEwgt.html✨
TSEwgt/json (API)
| # Install 'TSEwgt' in R: |
| install.packages('TSEwgt', repos = c('https://joshlmiller1978.r-universe.dev', 'https://cloud.r-project.org')) |
- TESTWGT - A data set created by merging 1) "actual" data from a "gold standard" survey (A1, A2), and 2) data from another survey (Q1, Q2), including weights columns for that data (W1, W2). A1/Q1 and A2/Q2 are responses to the same two questions, asked to the same 10 respondents (ID), along the same 1-99 response scale.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:5c4d0ca768. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 17 2024 |
| R-4.5-win | NOTE | Sep 17 2024 |
| R-4.5-linux | NOTE | Sep 17 2024 |
| R-4.4-win | NOTE | Sep 17 2024 |
| R-4.4-mac | NOTE | Sep 17 2024 |
| R-4.3-win | NOTE | Sep 17 2024 |
| R-4.3-mac | NOTE | Sep 17 2024 |
Exports:AVEMAEwAVEMAPEwAVEMSEwAVEMSLEwAVERAEwAVERMSEwAVERMSLEwAVERRSEwAVERSEwAVESMAPEwFULLSDwFULLSIw
Dependencies:
