The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Provides tools for statistical analysis using the binscatter methods developed by Cattaneo, Crump, Farrell and Feng (2023a) <doi:10.48550/arXiv.1902.09608>, Cattaneo, Crump, Farrell and Feng (2023b) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2023_NonlinearBinscatter.pdf> and Cattaneo, Crump, Farrell and Feng (2023c) <doi:10.48550/arXiv.1902.09615>. Binscatter provides a flexible way of describing the relationship between two variables based on partitioning/binning of the independent variable of interest. binsreg(), binsqreg() and binsglm() implement binscatter least squares regression, quantile regression and generalized linear regression respectively, with particular focus on constructing binned scatter plots. They also implement robust (pointwise and uniform) inference of regression functions and derivatives thereof. binstest() implements hypothesis testing procedures for parametric functional forms of and nonparametric shape restrictions on the regression function. binspwc() implements hypothesis testing procedures for pairwise group comparison of binscatter estimators. binsregselect() implements data-driven procedures for selecting the number of bins for binscatter estimation. All the commands allow for covariate adjustment, smoothness restrictions and clustering.
| Version: | 1.0 |
| Depends: | R (≥ 3.1) |
| Imports: | ggplot2, sandwich, quantreg, splines, matrixStats |
| Published: | 2023-07-11 |
| Author: | Matias D. Cattaneo, Richard K. Crump, Max H. Farrell, Yingjie Feng |
| Maintainer: | Yingjie Feng <fengyingjiepku at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | binsreg results |
| Reference manual: | binsreg.pdf |
| Package source: | binsreg_1.0.tar.gz |
| Windows binaries: | r-devel: binsreg_1.0.zip, r-release: binsreg_1.0.zip, r-oldrel: binsreg_1.0.zip |
| macOS binaries: | r-release (arm64): binsreg_1.0.tgz, r-oldrel (arm64): binsreg_1.0.tgz, r-release (x86_64): binsreg_1.0.tgz, r-oldrel (x86_64): binsreg_1.0.tgz |
| Old sources: | binsreg archive |
Please use the canonical form https://CRAN.R-project.org/package=binsreg to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.