Package: CICI 1.0

Michael Schomaker

CICI: Causal Inference with Continuous (Multiple Time Point) Interventions

Estimation of counterfactual outcomes for multiple values of continuous interventions at different time points, and plotting of causal dose-response curves. Details are given in Schomaker, McIlleron, Denti, Diaz (2024) <doi:10.48550/arXiv.2305.06645>.

Authors:Michael Schomaker [aut, cre], Leo Fuhrhop [ctb], Han Bao [ctb], Katharina Ring [ctb]

CICI_1.0.tar.gz
CICI_1.0.tar.gz(r-4.7-any)CICI_1.0.tar.gz(r-4.6-any)
CICI_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CICI/json (API)

# Install 'CICI' in R:
install.packages('CICI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • EFV - Pharmacoepidemiological HIV treatment data
  • EFVbin - Pharmacoepidemiological HIV treatment data
  • EFVfull - Pharmacoepidemiological HIV treatment data

On CRAN:

Conda:

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

1.60 score 1 stars 2 scripts 570 downloads 16 exports 44 dependencies

Last updated from:1bd1a3f76f. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK175
source / vignettesOK160
linux-release-x86_64OK185
wasm-releaseOK146

Exports:calc.weightscontrastcustom.measurefeasiblefit.updated.formulasgformulamake.model.formulasmi.bootmodel.formulas.updatemodel.updatemsmplot.feasibleplot.gformulapropsgfsummary.feasible

Dependencies:bitopscaToolsclicodetoolscpp11cvAUCdata.tabledigestdoParalleldoRNGfarverforeachgamggplot2glmnetgluegplotsgtablegtoolsisobanditeratorsKernSmoothlabelinglatticelifecycleMatrixmgcvnlmennlsR6RColorBrewerRcppRcppEigenrlangrngtoolsROCRS7scalesshapeSuperLearnersurvivalvctrsviridisLitewithr