Package: optic 1.0.1

Pedro Nascimento de Lima

optic: Simulation Tool for Causal Inference Using Longitudinal Data

Implements a simulation study to assess the strengths and weaknesses of causal inference methods for estimating policy effects using panel data. See Griffin et al. (2021) <doi:10.1007/s10742-022-00284-w> and Griffin et al. (2022) <doi:10.1186/s12874-021-01471-y> for a description of our methods.

Authors:Beth Ann Griffin [aut, cph], Pedro Nascimento de Lima [cre, aut], Max Griswold [aut], Adam Scherling [aut], Joseph Pane [aut], Geoffrey Grimm [aut]

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Bug tracker:https://github.com/randcorporation/optic/issues

On CRAN:

causal-inferencediff-in-difflongitudinal-datasimulation

6 exports 8 stars 1.59 score 90 dependencies 4 scripts 161 downloads

Last updated 1 years agofrom:43acc6a4d3. Checks:OK: 7. Indexed: yes.

Exports:calculate_exposuredispatch_simulationsexposure_listmodel_termsoptic_modeloptic_simulation

Dependencies:abindbackportsBHbigmemorybigmemory.sriBMiscbootbroomcarcarDataclicodetoolscolorspacecorrplotcowplotcpp11data.tableDerivdiddigestdoBydplyrDRDIDfansifarverfastglmfuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifglobalsgluegridExtragtableisobandlabelinglatticelifecyclelistenvlme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivparallellyparglmpbapplypbkrtestpillarpkgconfigpolynompurrrquantregR6RColorBrewerRcppRcppArmadilloRcppEigenrlangrstatixsandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttrustutf8uuidvctrsviridisLitewithrzoo