Package: lspartition 0.4

Yingjie Feng

lspartition: Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression

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.

Authors:Matias D. Cattaneo, Max H. Farrell, Yingjie Feng

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lspartition.pdf |lspartition.html✨
lspartition/json (API)

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4 exports 1 stars 0.00 score 34 dependencies 5 scripts 162 downloads

Last updated 5 years agofrom:d49aa4f42d. Checks:OK: 5 NOTE: 2. Indexed: yes.

Exports:lspkselectlsplincomlsprobustlsprobust.plot

Dependencies:clicolorspacecombinatdplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnlmepillarpkgconfigpracmaR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr