lspartition
Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression
Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2019a, doi:10.48550/arXiv.1804.04916) and Cattaneo, Farrell and Feng (2019b, doi:10.48550/arXiv.1906.00202): lsprobust() for nonparametric point estimation of regression functions and their derivatives and for robust bias-corrected (pointwise and uniform) inference; lspkselect() for data-driven selection of the IMSE-optimal number of knots; lsprobust.plot() for regression plots with robust confidence intervals and confidence bands; lsplincom() for estimation and inference for linear combinations of regression functions from different groups.
- Version0.4
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release08/08/2019
Team
Yingjie Feng
MaintainerShow author detailsMatias D. Cattaneo
Max H. Farrell
Insights
Last 30 days
This package has been downloaded 157 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,098 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 22, 2025 with 35 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports7 packages