Package: ivtools 2.3.0

ivtools: Instrumental Variables

Contains tools for instrumental variables estimation. Currently, non-parametric bounds, two-stage estimation and G-estimation are implemented. Balke, A. and Pearl, J. (1997) <doi:10.2307/2965583>, Vansteelandt S., Bowden J., Babanezhad M., Goetghebeur E. (2011) <doi:10.1214/11-STS360>.

Authors:Arvid Sjolander, Elisabeth Dahlqwist, Torben Martinussen

ivtools_2.3.0.tar.gz
ivtools_2.3.0.zip(r-4.7)ivtools_2.3.0.zip(r-4.6)ivtools_2.3.0.zip(r-4.5)
ivtools_2.3.0.tgz(r-4.6-x86_64)ivtools_2.3.0.tgz(r-4.6-arm64)ivtools_2.3.0.tgz(r-4.5-x86_64)ivtools_2.3.0.tgz(r-4.5-arm64)
ivtools_2.3.0.tar.gz(r-4.7-arm64)ivtools_2.3.0.tar.gz(r-4.7-x86_64)ivtools_2.3.0.tar.gz(r-4.6-arm64)ivtools_2.3.0.tar.gz(r-4.6-x86_64)
ivtools_2.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ivtools/json (API)
NEWS

# Install 'ivtools' in R:
install.packages('ivtools', repos = c('https://arvsjo.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • VitD - Data from a cohort study on Vitamin D and mortality.

On CRAN:

Conda:

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

cpp

2.87 score 3 stars 1 packages 41 scripts 357 downloads 2 mentions 6 exports 8 dependencies

Last updated from:a15604198c. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK122
linux-devel-x86_64OK128
source / vignettesOK166
linux-release-arm64OK123
linux-release-x86_64OK121
macos-release-arm64OK170
macos-release-x86_64OK243
macos-oldrel-arm64OK217
macos-oldrel-x86_64OK338
windows-develOK163
windows-releaseOK103
windows-oldrelOK130
wasm-releaseOK108

Exports:ahestfunivahivboundsivcoxphivglm

Dependencies:ahazdata.tablelatticeMatrixnleqslvnumDerivRcppsurvival