Quantile G-Computation Extensions for Effect Measure Modification

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Documentation for package ‘qgcompint’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

getjointeffects	Calculate joint effect of mixture effect and modifier vs. common referent
getstrateffects	Calculate mixture effect at a set value of effect measure modifier
getstratweights	Calculate weights at a set value of effect measure modifier
modelbound	Estimating qgcomp regression line confidence bounds
plot.qgcompemmfit	Default plotting method for a qgcompemmfit object
pointwisebound	Estimating pointwise comparisons for qgcompemmfit objects
print.qgcompemmfit	Default printing method for a qgcompemmfit object
qgcomp.emm.boot	EMM for Quantile g-computation for continuous, binary, and count outcomes under non-linearity/non-additivity or clustered data
qgcomp.emm.cox.noboot	EMM for Quantile g-computation with survival outcomes under linearity/additivity
qgcomp.emm.ee	EMM for Quantile g-computation for continuous, binary, and count outcomes under linearity/additivity
qgcomp.emm.glm.boot	EMM for Quantile g-computation for continuous, binary, and count outcomes under non-linearity/non-additivity or clustered data
qgcomp.emm.glm.ee	EMM for Quantile g-computation for continuous, binary, and count outcomes under linearity/additivity
qgcomp.emm.glm.noboot	EMM for Quantile g-computation for continuous, binary, and count outcomes under linearity/additivity
qgcomp.emm.noboot	EMM for Quantile g-computation for continuous, binary, and count outcomes under linearity/additivity
simdata_quantized_emm	Simulate quantized exposures for testing methods