Package: lspartition
Type: Package
Title: Nonparametric Estimation and Inference Procedures using
        Partitioning-Based Least Squares Regression
Version: 0.4
Date: 2019-08-08
Author: Matias D. Cattaneo, Max H. Farrell, Yingjie Feng
Maintainer: Yingjie Feng <yingjief@princeton.edu>
Description: Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2019a, <arXiv:1804.04916>) and Cattaneo, Farrell and Feng (2019b, <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.
Depends: R (>= 3.1)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: ggplot2, pracma, mgcv, combinat, matrixStats, MASS, dplyr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-08-08 20:21:51 UTC; Administrator
Repository: CRAN
Date/Publication: 2019-08-08 22:40:06 UTC
Built: R 4.0.2; ; 2020-07-17 01:48:24 UTC; unix
