Package: npiv 0.1.3

Timothy Christensen

npiv: Nonparametric Instrumental Variables Estimation and Inference

Implements methods introduced in Chen, Christensen, and Kankanala (2024) <doi:10.1093/restud/rdae025> for estimating and constructing uniform confidence bands for nonparametric structural functions using instrumental variables, including data-driven choice of tuning parameters. All methods in this package apply to nonparametric regression as a special case.

Authors:Jeffrey S. Racine [aut], Timothy Christensen [aut, cre], Patrick Alken [ctb], Rhys Ulerich [ctb], Simon N. Wood [ctb]

npiv_0.1.3.tar.gz
npiv_0.1.3.tar.gz(r-4.7-arm64)npiv_0.1.3.tar.gz(r-4.7-x86_64)npiv_0.1.3.tar.gz(r-4.6-arm64)npiv_0.1.3.tar.gz(r-4.6-x86_64)
npiv_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
npiv/json (API)

# Install 'npiv' in R:
install.packages('npiv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Engel95 - 1995 British Family Expenditure Survey

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.52 score 1 packages 11 scripts 509 downloads 3 exports 14 dependencies

Last updated from:4b2fa0af10. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK121
linux-devel-x86_64OK116
source / vignettesOK147
linux-release-arm64OK124
linux-release-x86_64OK123
wasm-releaseOK106

Exports:gsl.bsnpivnpiv_choose_J

Dependencies:clicrayonFormulagluehmslifecycleMASSpkgconfigprettyunitsprogressR6rlangvctrswithr