Package: TSEind 0.1.0

TSEind: Total Survey Error (Independent Samples)

Calculates total survey error (TSE) for one or more surveys, 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 TESTIND 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:Joshua Miller [aut, cre]

TSEind_0.1.0.tar.gz
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TSEind.pdf |TSEind.html
TSEind/json (API)

# Install 'TSEind' in R:
install.packages('TSEind', repos = c('https://joshlmiller1978.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • TESTIND - A data set created by merging 1) data from a "gold standard" survey and 2) data from other surveys of the same universe. Data from the "gold standard" survey are assumed to be the survey universe's "actual" response; data from the other surveys have survey error which the functions in 'TSEind' can calculate. Data are organized by survey (columns) and survey question (rows), and their values are the aggregate, "topline" responses to the survey questions which can range from 1 to 99 (the scale used by each survey question).

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 117 downloads 12 exports 0 dependencies

Last updated 5 years agofrom:c3f826160c. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winNOTENov 16 2024
R-4.5-linuxNOTENov 16 2024
R-4.4-winNOTENov 16 2024
R-4.4-macNOTENov 16 2024
R-4.3-winNOTENov 16 2024
R-4.3-macNOTENov 16 2024

Exports:FULLSDiFULLSIiMAEiMAPEiMSEiMSLEiRAEiRMSEiRMSLEiRRSEiRSEiSMAPEi

Dependencies: