CRAN . RSTUDIO . COM {
}
Title:
CRAN: Package tpc
Description:
Constraint-based causal discovery using the PC algorithm while accounting for a partial node ordering, for example a partial temporal ordering when the data were collected in different waves of a cohort study. Andrews RM, Foraita R, Didelez V, Witte J (2021) <<a href="https://doi.org/10.48550/arXiv.2108.13395" target="_top">doi:10.48550/arXiv.2108.13395</a>> provide a guide how to use tpc to analyse cohort data.
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Keywords {🔍}
foraita, tpctgz, tpc, tpczip, rrelease, roldrel, algorithm, partial, ordering, data, cohort, witte, ronja, binaries, arm, tiered, constraintbased, causal, discovery, accounting, node, temporal, collected, waves, study, andrews, didelez, doiarxiv, provide, guide, analyse, version, depends, pcalg, imports, graph, graphics, methods, parallel, utils, suggests, rgraphviz, testthat, published, doi, cranpackagetpc, author, janine, aut, cre,
Topics {✒️}
/bips-hb/tpc/issues license /bips-hb/tpc needscompilation pc algorithm partial node ordering partial temporal ordering dfg [fnd] maintainer gz windows binaries tpc results documentation janine witte [aut] readme cran checks zip macos binaries canonical form https analyse cohort data org/package=tpc leibniz-bips cohort study tpc author andrews rm utils suggests reference manual pdf downloads package source r-devel r-release r-oldrel r-project tgz linking tpc foraita data witte package 32614/cran https zip //cran tgz accounting collected waves didelez 48550/arxiv guide version 0 depends pcalg imports graph graphics methods
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