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cff-version: 1.2.0
message: 'To cite package "binsreg" in publications use:'
type: software
license: GPL-2.0-only
title: 'binsreg: Binscatter Estimation and Inference'
version: '1.1'
doi: 10.32614/CRAN.package.binsreg
abstract: Provides tools for statistical analysis using the binscatter methods developed
  by Cattaneo, Crump, Farrell and Feng (2024a) <https://doi.org/10.48550/arXiv.1902.09608>,
  Cattaneo, Crump, Farrell and Feng (2024b) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2024_NonlinearBinscatter.pdf>
  and Cattaneo, Crump, Farrell and Feng (2024c) <https://doi.org/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.
authors:
- family-names: Feng
  given-names: Yingjie
  email: fengyingjiepku@gmail.com
- family-names: Cattaneo
  given-names: Matias D.
- family-names: Crump
  given-names: Richard K.
- family-names: Farrell
  given-names: Max H.
repository: https://CRAN.R-project.org/package=binsreg
date-released: '2024-07-23'
contact:
- family-names: Feng
  given-names: Yingjie
  email: fengyingjiepku@gmail.com