spsR: Synthetic Purposive Sampling
Description:
R package spsR implements Synthetic Purposive Sampling (SPS) that allows users to select diverse study sites for external validity, as developed in Egami and Lee (2023+).
Authors:
- Naoki Egami (Maintainer)
- Diana Da In Lee
Reference:
- Egami and Lee. (2023+). Designing Multi-Context Studies for External Validity: Site Selection via Synthetic Purposive Sampling.
Overview of the Website
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Please start with Get Started Page.
- This page should be sufficient for understanding the basic use of the package.
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We provide more detailed practical guides on Practical Guides.
- Include (1) step-by-step instructions, (2) answers to frequently asked questions, (3) suggestions about data collection.
- For methodological details, please read Egami and Lee (2023+).
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We are happy to receive any questions and suggestions about R package
spsR.
Please reach out to Naoki (naoki.egami@columbia.edu) and Diana (dl2860@columbia.edu).
Installation Instructions
You can install the most recent development version using the devtools package. First you have to install devtools using the following code. Note that you only have to do this once:
if(!require(devtools)) install.packages("devtools")Then, load devtools and use the function install_github() to install spsR:
library(devtools)
install_github("naoki-egami/spsR", dependencies = TRUE)