lspartition (0.4)

0 users

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

http://cran.r-project.org/web/packages/lspartition

Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2019a, ) and Cattaneo, Farrell and Feng (2019b, ): 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.

Maintainer: Yingjie Feng
Author(s): Matias D. Cattaneo, Max H. Farrell, Yingjie Feng

License: GPL-2

Uses: combinat, dplyr, ggplot2, MASS, matrixStats, mgcv, pracma

Released 17 days ago.


3 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of lspartition yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for lspartition on google, google scholar, r-help, r-devel.

Visit lspartition on R Graphical Manual.