R: Quantile G-Computation Extensions for Effect Measure Modification

# Quantile G-Computation Extensions for Effect Measure Modification

## Documentation for package ‘qgcompint’ version 1.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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