Quantile G-Computation


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Documentation for package ‘qgcomp’ version 1.0.0

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metals Simulated well water measurements in North Carolina: 16 metals, 6 water chemistry measures, and 2 health outcomes (y = continuous; disease_state = binary)
msm.fit fitting marginal structural model (MSM) based on g-computation with quantized exposures
msm.predict msm.predict: secondary prediction method for the MSM within a qgcompfit object.
plot.qgcompfit plot.qgcompfit: default plotting method for a qgcompfit object
predict.qgcompfit predict.qgcompfit: default prediction method for a qgcompfit object
print.qgcompfit default printing method for a qgcompfit object
qgcomp estimation of quantile g-computation fit
qgcomp.boot estimation of quantile g-computation fit, using bootstrap confidence intervals
qgcomp.noboot estimation of quantile g-computation fit (continuous outcome) or conditional quantile odds ratio (binary outcome)
quantize create variables representing indicator functions with cutpoints defined by quantiles