Package: dosearch 1.0.12

dosearch: Causal Effect Identification from Multiple Incomplete Data Sources

Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm by Tikka, Hyttinen and Karvanen (2021) <doi:10.18637/jss.v099.i05>. Allows for the presence of mechanisms related to selection bias (Bareinboim and Tian, 2015) <doi:10.1609/aaai.v29i1.9679>, transportability (Bareinboim and Pearl, 2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, missing data (Mohan, Pearl, and Tian, 2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these. Also supports identification in the presence of context-specific independence (CSI) relations through labeled directed acyclic graphs (LDAG). For details on CSIs see (Corander et al., 2019) <doi:10.1016/j.apal.2019.04.004>.

Authors:Santtu Tikka [aut, cre], Antti Hyttinen [ctb], Juha Karvanen [ctb]

dosearch_1.0.12.tar.gz
dosearch_1.0.12.zip(r-4.7)dosearch_1.0.12.zip(r-4.6)dosearch_1.0.12.zip(r-4.5)
dosearch_1.0.12.tgz(r-4.6-x86_64)dosearch_1.0.12.tgz(r-4.6-arm64)dosearch_1.0.12.tgz(r-4.5-x86_64)dosearch_1.0.12.tgz(r-4.5-arm64)
dosearch_1.0.12.tar.gz(r-4.7-arm64)dosearch_1.0.12.tar.gz(r-4.7-x86_64)dosearch_1.0.12.tar.gz(r-4.6-arm64)dosearch_1.0.12.tar.gz(r-4.6-x86_64)
dosearch_1.0.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dosearch/json (API)

# Install 'dosearch' in R:

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

Bug tracker:https://github.com/santikka/dosearch/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

bivariate_missingness - Systematic Analysis of Bivariate Missing Data Problems

On CRAN:

c-plus-plus causal-inference causal-models causality causality-algorithms directed-acyclic-graph graphs labeled-graphs cpp

5.80 score 10 stars 1 packages 21 scripts 452 downloads 5 exports 1 dependencies

Last updated from:8054f2fa28. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	174
linux-devel-x86_64	OK	171
source / vignettes	OK	255
linux-release-arm64	OK	154
linux-release-x86_64	OK	160
macos-release-arm64	OK	150
macos-release-x86_64	OK	231
macos-oldrel-arm64	OK	114
macos-oldrel-x86_64	OK	445
windows-devel	OK	131
windows-release	OK	127
windows-oldrel	OK	124
wasm-release	OK	130

Exports:dosearch get_benchmark get_derivation get_formula is_identifiable

Dependencies:Rcpp

Identifying Causal Effects using dosearch

Introduction | The General Causal Effect Identification Problem | The dosearch package | References

Rendered fromdosearch.Rmdusingknitr::rmarkdown

Last update: 2025-04-07
Started: 2022-08-15

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Causal Effect Identification from Multiple Incomplete Data Sources	dosearch-package
Systematic Analysis of Bivariate Missing Data Problems	bivariate_missingness
Identify a Causal Effect from Arbitrary Experiments And Observations	dosearch get_benchmark get_derivation get_formula is_identifiable plot.dosearch print.dosearch summary.dosearch
Print the Summary of a 'dosearch' Object	print.summary.dosearch