This repository has an RMarkdown file titled "Tutorial" giving examples that demonstrate how to use the PTDBoot package. It also includes a folder with the processed datasets that were used in the examples. Finally there is also a RMarkdown file with code that applied some functions from the PTDBoot package to a partially synthetic, corn yield dataset.
If using the processed datasets, please cite their original source rather than this github repository.
The housing price and treecover datasets came from:
Rolf, E., Proctor, J., Carleton, T., Bolliger, I., Shankar, V., Ishihara, M., Recht, B., and Hsiang, S. (2021a). A generalizable and accessible approach to machine learning with global satellite imagery. Nature Communications, 12(1):4392.
Rolf, E., Proctor, J., Carleton, T., Bolliger, I., Shankar, V., Ishihara, M., Recht, B., and Hsiang, S. (2021b). A generalizable and accessible approach to machine learning with global satellite imagery. https://www.codeocean.com/capsule/6456296/tree/v2.
The AlphaFold dataset had origins and was later processed in:
Bludau, I., Willems, S., Zeng, W.-F., Strauss, M. T., Hansen, F. M., Tanzer, M. C., Karayel, O., Schulman, B. A., and Mann, M. (2022). The structural context of posttranslational modifications at a proteome-wide scale. PLoS biology, 20(5):e3001636.
Angelopoulos, A. N., Bates, S., Fannjiang, C., Jordan, M. I., and Zrnic, T. (2023b). Prediction-powered inference: Data sets. 10.5281/zenodo.8397451.
The Census income dataset was from an official US survey, but was downloaded using the Folktables interface:
Ding, F., Hardt, M., Miller, J., and Schmidt, L. (2021). Retiring adult: New datasets for fair machine learning. In Advances in Neural Information Processing Systems.
Note that for each of these datasets, additional processing steps were taken before uploading the data to this repository.
The software and PTDBoot package should be attributed to:
Dan M. Kluger, Kerri Lu, Tijana Zrnic, Sherrie Wang, and Stephen Bates (2025). Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling. 2501.18577 [stat.ME] https://arxiv.org/abs/2501.18577
