What is this for? | When is persuasio applicable? | Key estimands | persuasio TL;DR | Choosing an estimator (est) in persuasio | Choosing an inference method in persuasio | Choosing a model in persuasio when covariates are present | Package setup | persuasio: Unified Wrapper for Persuasion Effect Estimation | Examples using the GKB dataset | Base estimators | calc4persuasio: Bounds from Summary Statistics | aprlb: Lower Bound on the Average Persuasion Rate | aprub: Upper Bound on the Average Persuasion Rate | lpr4ytz: Local Persuasion Rate | Inference wrappers | persuasio4ytz: Confidence Intervals for the Average Persuasion Rate | persuasio4ytz2lpr: Confidence Intervals for the Local Persuasion Rate | persuasio4yz: APR Bounds Without a Treatment Variable | Related Software | Reference
Package: persuasio 0.1.0
Sokbae Lee
persuasio: Causal Inference on Persuasion Effects
Provides estimation and inference methods for causal persuasion rates in the potential-outcomes framework of Jun and Lee (2023, Journal of Political Economy) <doi:10.1086/724114>. The package computes bounds and confidence intervals for average and local persuasion rates under data scenarios with binary outcomes, treatments, and instruments, and also when only the outcome and instrument are observed. It also provides functions for calculating bounds from summary statistics.
Authors:
persuasio_0.1.0.tar.gz
persuasio_0.1.0.zip(r-4.7-any)persuasio_0.1.0.zip(r-4.6-any)persuasio_0.1.0.zip(r-4.5-any)
persuasio_0.1.0.tgz(r-4.6-any)persuasio_0.1.0.tgz(r-4.5-any)
persuasio_0.1.0.tar.gz(r-4.7-any)persuasio_0.1.0.tar.gz(r-4.6-any)
persuasio_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
persuasio/json (API)
| # Install 'persuasio' in R: |
| install.packages('persuasio', repos = c('https://persuasio.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/persuasio/persuasio-r/issues
Datasets:
- GKB - GKB
Last updated from:934c527622. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 111 | ||
| source / vignettes | OK | 202 | ||
| linux-release | OK | 107 | ||
| macos-release | OK | 142 | ||
| macos-oldrel | OK | 199 | ||
| windows-devel | OK | 72 | ||
| windows-release | OK | 78 | ||
| windows-oldrel | OK | 72 | ||
| wasm-release | OK | 87 |
Exports:aprlbaprubcalc4persuasiolpr4ytzpersuasiopersuasio4ytzpersuasio4ytz2lprpersuasio4yz
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate the lower bound of the average persuasion rate | aprlb |
| Estimate the upper bound of the average persuasion rate | aprub |
| Calculate the effect of persuasion when information on Pr(y=1|z) and optimally Pr(t=1|z) for each z=0,1 is available | calc4persuasio |
| GKB | GKB |
| Estimate the local persuasion rate | lpr4ytz |
| Unified Interface for Causal Inference on Persuasion Effects | persuasio |
| Causal Inference on the Average Persuasion Rate | persuasio4ytz |
| Causal Inference on the Local Persuasion Rate | persuasio4ytz2lpr |
| Causal Inference on Persuasion Effects Using Outcome and Instrument Only | persuasio4yz |
| Print method for aprlb objects | print.aprlb |
| Print method for aprub objects | print.aprub |
| Print method for calc4persuasio | print.calc4persuasio |
| Print method for lpr4ytz objects | print.lpr4ytz |
| Print method for persuasio4ytz | print.persuasio4ytz |
| Print method for persuasio4ytz2lpr | print.persuasio4ytz2lpr |
| Print method for persuasio4yz | print.persuasio4yz |