Package: ivdesc 1.1.1

ivdesc: Profiling Compliers and Non-Compliers for Instrumental Variable Analysis

Estimating the mean and variance of a covariate for the complier, never-taker and always-taker subpopulation in the context of instrumental variable estimation. This package implements the method described in Marbach and Hangartner (2020) <doi:10.1017/pan.2019.48> and Hangartner, Marbach, Henckel, Maathuis, Kelz and Keele (2021) <arxiv:2103.06328>.

Authors:Moritz Marbach <[email protected]> [aut, cre]

ivdesc_1.1.1.tar.gz
ivdesc_1.1.1.zip(r-4.5)ivdesc_1.1.1.zip(r-4.4)ivdesc_1.1.1.zip(r-4.3)
ivdesc_1.1.1.tgz(r-4.4-any)ivdesc_1.1.1.tgz(r-4.3-any)
ivdesc_1.1.1.tar.gz(r-4.5-noble)ivdesc_1.1.1.tar.gz(r-4.4-noble)
ivdesc_1.1.1.tgz(r-4.4-emscripten)ivdesc_1.1.1.tgz(r-4.3-emscripten)
ivdesc.pdf |ivdesc.html✨
ivdesc/json (API)
NEWS

# Install 'ivdesc' in R:

install.packages('ivdesc', repos = c('https://sumtxt.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sumtxt/ivdesc/issues

On CRAN:

1.00 score 5 scripts 294 downloads 1 exports 36 dependencies

Last updated 2 years agofrom:491bb13141. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 25 2024
R-4.5-win	OK	Oct 25 2024
R-4.5-linux	OK	Oct 25 2024
R-4.4-win	NOTE	Oct 25 2024
R-4.4-mac	NOTE	Oct 25 2024
R-4.3-win	NOTE	Oct 25 2024
R-4.3-mac	NOTE	Oct 25 2024