Package: qgcomp 2.16.1
Alexander Keil
qgcomp: Quantile G-Computation
G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
Authors:
qgcomp_2.16.1.tar.gz
qgcomp_2.16.1.zip(r-4.5)qgcomp_2.16.1.zip(r-4.4)qgcomp_2.16.1.zip(r-4.3)
qgcomp_2.16.1.tgz(r-4.4-any)qgcomp_2.16.1.tgz(r-4.3-any)
qgcomp_2.16.1.tar.gz(r-4.5-noble)qgcomp_2.16.1.tar.gz(r-4.4-noble)
qgcomp_2.16.1.tgz(r-4.4-emscripten)qgcomp_2.16.1.tgz(r-4.3-emscripten)
qgcomp.pdf |qgcomp.html✨
qgcomp/json (API)
| # Install 'qgcomp' in R: |
| install.packages('qgcomp', repos = c('https://alexpkeil1.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alexpkeil1/qgcomp/issues
- metals - Well water data
exposureexposure-mixtureexposure-mixturesquantile-gcomputationsurvivalweighted-quantile-sums
Last updated 4 months agofrom:299d4e9534. Checks:OK: 1 NOTE: 5 ERROR: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-win | ERROR | Oct 29 2024 |
| R-4.5-linux | NOTE | Oct 29 2024 |
| R-4.4-win | NOTE | Oct 29 2024 |
| R-4.4-mac | NOTE | Oct 29 2024 |
| R-4.3-win | NOTE | Oct 29 2024 |
| R-4.3-mac | NOTE | Oct 29 2024 |
Exports:coxmsm_fithomogeneity_testhurdlemsm_fit.controljoint_testmice.impute.leftcenslognormmice.impute.tobitmodelbound.bootmsm_fitmsm_multinomial_fitmsm.predictpointwisebound.bootpointwisebound.nobootqgcompqgcomp.bootqgcomp.cch.nobootqgcomp.cox.bootqgcomp.cox.nobootqgcomp.eeqgcomp.glm.bootqgcomp.glm.eeqgcomp.glm.nobootqgcomp.hurdle.bootqgcomp.hurdle.nobootqgcomp.multinomial.bootqgcomp.multinomial.nobootqgcomp.nobootqgcomp.partialsqgcomp.survcurve.bootqgcomp.zi.bootqgcomp.zi.nobootquantizese_combsimdata_quantizedsplit_datavc_combzimsm_fit.control
Dependencies:abindarmbootclicodacodetoolscolorspacedigestfansifarverfuturefuture.applygenericsggplot2globalsgluegridExtragtableisobandlabelinglatticelifecyclelistenvlme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrnnetnumDerivparallellypillarpkgconfigpsclR6RColorBrewerRcppRcppEigenrlangrootSolvescalessurvivaltibbleutf8vctrsviridisLitewithr
Advanced topics for the qgcomp package: time-to-event, clustering, partial effects, weighting, missing data
Rendered fromqgcomp-advanced-vignette.Rmdusingknitr::knitron Oct 29 2024.Last update: 2024-06-29
Started: 2024-06-29
Basic topics for the qgcomp package: g-computation on exposure quantiles
Rendered fromqgcomp-basic-vignette.Rmdusingknitr::knitron Oct 29 2024.Last update: 2024-06-29
Started: 2024-06-29
