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  "Title": "Dyad Ratios Algorithm for Latent Variable Estimation",
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  "Description": "Implements the Dyad Ratios algorithm for estimating latent\nvariables from time-series survey data. The algorithm estimates\na latent mood dimension (or two dimensions) from a set of issue\nopinion series. Supports annual, quarterly, monthly, and daily\naggregation intervals, optional exponential smoothing, and up\nto two latent dimensions. Input data can be provided as a data\nframe or read from delimited text files. Based on Stimson's\n'MCalc' C++ program. See Stimson (2018)\n<doi:10.1177/0759106318761614> for more details.",
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