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:Bradley Saul

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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'))

Peer review:

Bug tracker:https://github.com/bsaul/inferference/issues

Datasets:

On CRAN:

5.47 score 6 stars 49 scripts 201 downloads 18 exports 28 dependencies

Last updated 4 years agofrom:6bb643ba8b. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winNOTENov 04 2024
R-4.5-linuxNOTENov 04 2024
R-4.4-winNOTENov 04 2024
R-4.4-macNOTENov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:diagnose_weightsdirect_effectget_argsieindirect_effectinterferencelog_likelihoodlogit_integrandoeoverall_effectscore_calcscore_matrixtetotal_effectwght_calcwght_deriv_arraywght_deriv_calcwght_matrix

Dependencies:abindbackportsbootcheckmatecrayonFormulageometrygmplatticelinproglme4lpSolvemagicMASSMatrixminqanlmenloptrnumDerivpbapplyproxyRcppRcppEigenRcppProgressregistryROIslamspaMM

Plotting Causal Effects with inferference

Rendered frominferference_plots.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2016-09-04
Started: 2015-03-06

inferference Vignette

Rendered frominferference_intro.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2017-09-25
Started: 2015-03-07