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.zip(r-4.7-x86_64)npiv_0.1.3.zip(r-4.7-arm64)npiv_0.1.3.zip(r-4.6-x86_64)npiv_0.1.3.zip(r-4.6-arm64)
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')) |
- 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 from:4b2fa0af10. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 116 | ||
| linux-devel-x86_64 | OK | 126 | ||
| source / vignettes | OK | 196 | ||
| linux-release-arm64 | OK | 104 | ||
| linux-release-x86_64 | OK | 120 | ||
| windows-devel-arm64 | OK | 169 | ||
| windows-devel-x86_64 | OK | 140 | ||
| windows-release-arm64 | OK | 215 | ||
| windows-release-x86_64 | OK | 85 | ||
| wasm-release | OK | 91 |
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 |