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:
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')) |
- 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.
Last updated 6 days agofrom:4b2fa0af10. Checks:2 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 08 2025 |
R-4.5-linux-x86_64 | OK | Jan 08 2025 |
Exports:gsl.bsnpivnpiv_choose_J
Dependencies:clicrayonFormulagluehmslifecycleMASSpkgconfigprettyunitsprogressR6rlangvctrswithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Nonparametric Instrumental Variables Estimation and Inference | npiv-package |
1995 British Family Expenditure Survey | Engel95 |
GSL (GNU Scientific Library) B-spline/B-spline Derivatives | gsl.bs gsl.bs.default gsl.bs.predict |
Nonparametric Instrumental Variable Estimation and Inference | npiv npiv.default npiv.formula |
Data-driven Choice of Sieve Dimension for Nonparametric Instrumental Variables Estimation and Inference | npiv_choose_J |