DyadRatios
2.1Dyad Ratios Algorithm for Latent Variable Estimation
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2.9Kdownloads / year
86.5%test coverage
13/13checks pass
Overview
About
Implements the Dyad Ratios algorithm for estimating latent variables from time-series survey data. The algorithm estimates a latent mood dimension (or two dimensions) from a set of issue opinion series. Supports annual, quarterly, monthly, and daily aggregation intervals, optional exponential smoothing, and up to two latent dimensions. Input data can be provided as a data frame or read from delimited text files. Based on Stimson's 'MCalc' C++ program. See Stimson (2018) doi:10.1177/0759106318761614 for more details.
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Health
CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.23
86.5%
Coverage · measured lines
100%
Documentation · exports
1
Dependencies · direct
Check history
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 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
- 100%
- References docs
- 22%
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Also on130 r2u28 autocran
Dependencies
Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (1)
LinkingTo (1)
Enhances (0)
none
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Package metadata
- First published
- 2025-09-30
- Total releases
- 5 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 2.4 KB / 1 file
- Download size
- 203 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet