General | Usage | Arguments | Dating Considerations | Output | Output Functions | Negative Correlations? | Model | Iterative Validity Estimation | Example | Bootstrapping | References
Package: DyadRatios 2.1
Dave Armstrong
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.
Authors:
DyadRatios_2.1.tar.gz
DyadRatios_2.1.tar.gz(r-4.7-arm64)DyadRatios_2.1.tar.gz(r-4.7-x86_64)DyadRatios_2.1.tar.gz(r-4.6-arm64)DyadRatios_2.1.tar.gz(r-4.6-x86_64)
DyadRatios_2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DyadRatios/json (API)
| # Install 'DyadRatios' in R: |
| install.packages('DyadRatios', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- jennings - Jennings Government Trust Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:c3dc664afe. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 135 | ||
| linux-devel-x86_64 | OK | 137 | ||
| source / vignettes | OK | 195 | ||
| linux-release-arm64 | OK | 174 | ||
| linux-release-x86_64 | OK | 137 | ||
| wasm-release | OK | 119 |
Exports:boot_drextractget_mood
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| dyadratios: Dyad Ratios Algorithm for Latent Public Opinion Estimation | DyadRatios-package dyadratios-package DyadRatios |
| Bootstrap the Dyad Ratios estimate | boot_dr |
| Run the Dyad Ratios Algorithm | extract |
| Extract mood estimates as a data frame | get_mood |
| Jennings Government Trust Data | jennings |
| Plot a boot_dr object | plot.boot_dr |
| Plot estimated public mood | plot.extract |
| Print method for extract objects | print.extract |
| Summary method for extract objects | summary.extract |