Dyad Ratios Algorithm for Latent Variable Estimation R package DyadRatios version 2.1 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. Software Depends: R (>= 4.1.0) Imports: Rcpp (>= 1.0.0) LinkingTo: Rcpp Suggests: testthat (>= 3.0.0), ggplot2, knitr, rmarkdown, dplyr, lubridate, rio, tidyr Dave Armstrong <davearmstrong.ps@gmail.com> Comprehensive R Archive Network (CRAN) James Stimson [aut] (Original C++ implementation), Dave Armstrong [cre, aut] GPL-3 2026-05-11 application/tgz https://CRAN.R-project.org/package=DyadRatios doi:10.32614/CRAN.package.DyadRatios