Package: cit 2.4.0
cit: Causal Inference Test
A likelihood-based hypothesis testing approach is implemented for assessing causal mediation. Described in Millstein, Chen, and Breton (2016), <doi:10.1093/bioinformatics/btw135>, it could be used to test for mediation of a known causal association between a DNA variant, the 'instrumental variable', and a clinical outcome or phenotype by gene expression or DNA methylation, the potential mediator. Another example would be testing mediation of the effect of a drug on a clinical outcome by the molecular target. The hypothesis test generates a p-value or permutation-based FDR value with confidence intervals to quantify uncertainty in the causal inference. The outcome can be represented by either a continuous or binary variable, the potential mediator is continuous, and the instrumental variable can be continuous or binary and is not limited to a single variable but may be a design matrix representing multiple variables.
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# Install 'cit' in R: |
install.packages('cit', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/uscbiostats/cit/issues
Last updated 4 months agofrom:620f42dc91. Checks:OK: 1 ERROR: 8. Indexed: no.
Target | Result | Date |
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Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win-x86_64 | ERROR | Oct 25 2024 |
R-4.5-linux-x86_64 | ERROR | Oct 25 2024 |
R-4.4-win-x86_64 | ERROR | Oct 25 2024 |
R-4.4-mac-x86_64 | ERROR | Oct 25 2024 |
R-4.4-mac-aarch64 | ERROR | Oct 25 2024 |
R-4.3-win-x86_64 | ERROR | Oct 25 2024 |
R-4.3-mac-x86_64 | ERROR | Oct 25 2024 |
R-4.3-mac-aarch64 | ERROR | Oct 25 2024 |
Exports:cit.bpcit.bp.m.v1cit.bp.m.v2cit.bp.v1cit.bp.v2cit.cpcit.cp.m.v1cit.cp.m.v2cit.cp.v1cit.cp.v2fdr.citfdr.odfdr.q.parafdr.q.permiuqlinregM.ncms_f
Dependencies:Rcpp