R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
nprobust
View on CRAN: Click
here
Download and install nprobust package within the R console
Install from CRAN:
install.packages("nprobust")
Install from Github:
library("remotes")
install_github("cran/nprobust") Install by package version:
library("remotes")
install_version("nprobust", "0.5.0") Attach the package and use:
library("nprobust")
Maintained by
Sebastian Calonico
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-07
Latest Update: 2025-04-14
Description:
Tools for data-driven statistical analysis using local polynomial regression and kernel density estimation methods as described in Calonico, Cattaneo and Farrell (2018, ): lprobust() for local polynomial point estimation and robust bias-corrected inference, lpbwselect() for local polynomial bandwidth selection, kdrobust() for kernel density point estimation and robust bias-corrected inference, kdbwselect() for kernel density bandwidth selection, and nprobust.plot() for plotting results. The main methodological and numerical features of this package are described in Calonico, Cattaneo and Farrell (2019, ).
How to cite:
Sebastian Calonico (2016). nprobust: Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation. R package version 0.5.0, https://cran.r-project.org/web/packages/nprobust. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:25), 0.0.1 (2016-11-07 17:22), 0.1.0 (2017-09-01 17:10), 0.1.1 (2017-09-15 00:26), 0.1.2 (2018-03-16 23:30), 0.1.3 (2018-05-01 16:29), 0.1.4 (2019-01-11 00:30), 0.2.0 (2019-10-22 10:20), 0.2.1 (2019-10-30 16:20), 0.3.0 (2020-04-02 07:10), 0.4.0 (2020-08-26 12:40), 0.5.0 (2025-04-14 09:50)
Other packages that cited nprobust R package
View nprobust citation profile
Other R packages that nprobust depends,
imports, suggests or enhances
Complete documentation for nprobust
Functions, R codes and Examples using
the nprobust R package
Some associated functions: kdbwselect . kdrobust . lpbwselect . lprobust . nprobust-package . nprobust.plot .
Some associated R codes: RcppExports.R . kdbwselect.R . kdrobust.R . lpbwselect.R . lprobust.R . npfunctions.R . nprobust.plot.R . Full nprobust package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
dhReg
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pranay Gaikwad (view profile)
dcov
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hang Weiqiang (view profile)
noisyr
Quantifies and removes technical noise from high-throughput
sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ilias Moutsopoulos (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
kernelPSI
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Lotfi Slim (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
