Package: inferference 1.0.2
inferference: Methods for Causal Inference with Interference
Provides methods for estimating causal effects in the presence of interference described in B. Saul and M. Hugdens (2017) <doi:10.18637/jss.v082.i02>. Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) <doi:10.1177/0962280210386779>.
Authors:
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inferference.pdf |inferference.html✨
inferference/json (API)
NEWS
# Install 'inferference' in R: |
install.packages('inferference', repos = c('https://bsaul.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bsaul/inferference/issues
- vaccinesim - Vaccine Study Sample Data
- voters - Voting Contagion Experiment Data
Last updated 4 years agofrom:6bb643ba8b. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | NOTE | Nov 04 2024 |
R-4.5-linux | NOTE | Nov 04 2024 |
R-4.4-win | NOTE | Nov 04 2024 |
R-4.4-mac | NOTE | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:diagnose_weightsdirect_effectget_argsieindirect_effectinterferencelog_likelihoodlogit_integrandoeoverall_effectscore_calcscore_matrixtetotal_effectwght_calcwght_deriv_arraywght_deriv_calcwght_matrix
Dependencies:abindbackportsbootcheckmatecrayonFormulageometrygmplatticelinproglme4lpSolvemagicMASSMatrixminqanlmenloptrnumDerivpbapplyproxyRcppRcppEigenRcppProgressregistryROIslamspaMM