CRAN/E | rbbnp

rbbnp

A Bias Bound Approach to Non-Parametric Inference

Installation

About

A novel bias-bound approach for non-parametric inference is introduced, focusing on both density and conditional expectation estimation. It constructs valid confidence intervals that account for the presence of a non-negligible bias and thus make it possible to perform inference with optimal mean squared error minimizing bandwidths. This package is based on Schennach (2020) doi:10.1093/restud/rdz065.

doi.org/10.1093/restud/rdz065

Key Metrics

Version 0.1.0
R ≥ 3.5
Published 2024-02-01 254 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks rbbnp results

Downloads

Yesterday 4 0%
Last 7 days 17 -35%
Last 30 days 104 -30%
Last 90 days 387 -9%
Last 365 days 1.227

Maintainer

Maintainer

Xinyu DAI

Authors

Xinyu DAI

aut / cre

Susanne M Schennach

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.5

Imports

purrr
pracma
tidyr
dplyr
ggplot2
gridExtra