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  "Title": "Nonparametric Estimation and Inference Procedures using\nPartitioning-Based Least Squares Regression",
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  "Description": "Tools for statistical analysis using partitioning-based\nleast squares regression as described in Cattaneo, Farrell and\nFeng (2020a, <doi:10.48550/arXiv.1804.04916>) and Cattaneo,\nFarrell and Feng (2020b, <doi:10.48550/arXiv.1906.00202>):\nlsprobust() for nonparametric point estimation of regression\nfunctions and their derivatives and for robust bias-corrected\n(pointwise and uniform) inference; lspkselect() for data-driven\nselection of the IMSE-optimal number of knots; lsprobust.plot()\nfor regression plots with robust confidence intervals and\nconfidence bands; lsplincom() for estimation and inference for\nlinear combinations of regression functions from different\ngroups.",
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