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-4.5-noble)npiv_0.1.3.tar.gz(r-4.4-noble)
npiv_0.1.3.tgz(r-4.4-emscripten)npiv_0.1.3.tgz(r-4.3-emscripten)
npiv.pdf |npiv.html
npiv/json (API)

# Install 'npiv' in R:
install.packages('npiv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Engel95 - 1995 British Family Expenditure Survey

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

1.00 score 8 scripts 3 exports 14 dependencies

Last updated 6 days agofrom:4b2fa0af10. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 08 2025
R-4.5-linux-x86_64OKJan 08 2025

Exports:gsl.bsnpivnpiv_choose_J

Dependencies:clicrayonFormulagluehmslifecycleMASSpkgconfigprettyunitsprogressR6rlangvctrswithr