Package: lspartition
Type: Package
Title: Nonparametric Estimation and Inference Procedures using
        Partitioning-Based Least Squares Regression
Version: 0.2
Date: 2018-12-03
Author: Matias D. Cattaneo, Max H. Farrell, Yingjie Feng
Maintainer: Yingjie Feng <yjfeng@umich.edu>
Description: Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2018) <arXiv:1804.04916>. lsprobust() for nonparametric point estimation of regression functions and derivatives thereof, and for robust bias-corrected (pointwise and uniform) inference procedures. lspkselect() for data-driven procedure for selecting 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: 6.0.1
NeedsCompilation: no
Packaged: 2018-12-03 22:15:21 UTC; Yingjie
Repository: CRAN
Date/Publication: 2018-12-03 22:40:03 UTC
Built: R 3.4.4; ; 2019-04-25 22:04:38 UTC; windows
