qgcompint
Quantile G-Computation Extensions for Effect Measure Modification
v1.0.2
·
Jul 22, 2025
·
GPL (>= 2)
Description
G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. Effect measure modification in this method is a way to assess how the effect of the mixture varies by a binary, categorical or continuous variable. 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>.
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| r-devel-windows-x86_64 | OK |
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| r-oldrel-windows-x86_64 | OK |
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| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
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| r-release-windows-x86_64 | OK |
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
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1.0.2
Mar 10, 2026