DyadRatios: Dyad Ratios Algorithm for Latent Variable Estimation

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.

Version:	2.1
Depends:	R (≥ 4.1.0)
Imports:	Rcpp (≥ 1.0.0)
LinkingTo:	Rcpp
Suggests:	testthat (≥ 3.0.0), ggplot2, knitr, rmarkdown, dplyr, lubridate, rio, tidyr
Published:	2026-05-11
DOI:	10.32614/CRAN.package.DyadRatios
Author:	James Stimson [aut] (Original C++ implementation), Dave Armstrong [cre, aut]
Maintainer:	Dave Armstrong <davearmstrong.ps at gmail.com>
License:	GPL-3
NeedsCompilation:	yes
CRAN checks:	DyadRatios results

Documentation:

Reference manual:	DyadRatios.html , DyadRatios.pdf
Vignettes:	Documentation for the Dyad Ratios Algorithm (source, R code)

Downloads:

Package source:	DyadRatios_2.1.tar.gz
Windows binaries:	r-devel: DyadRatios_2.1.zip, r-release: DyadRatios_2.1.zip, r-oldrel: DyadRatios_2.1.zip
macOS binaries:	r-release (arm64): DyadRatios_2.1.tgz, r-oldrel (arm64): DyadRatios_2.1.tgz, r-release (x86_64): DyadRatios_2.1.tgz, r-oldrel (x86_64): DyadRatios_2.1.tgz
Old sources:	DyadRatios archive

Linking:

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