Quantile G-Computation

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Documentation for package ‘qgcomp’ version 2.10.1

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

Help Pages

checknames	Check for valid model terms in a qgcomp fit
coxmsm.fit	Marginal structural Cox model (MSM) fitting within quantile g-computation
glance.qgcompfit	Glance at a qgcompfit object
hurdlemsm.fit	Secondary prediction method for the (hurdle) qgcomp MSM.
hurdlemsm.fit.control	Control of fitting parameters for zero inflated MSMs
metals	Well water data
mice.impute.leftcenslognorm	Imputation for limits of detection problems
modelbound.boot	Estimating qgcomp regression line confidence bounds
msm.fit	Fitting marginal structural model (MSM) within quantile g-computation
msm.predict	Secondary prediction method for the (non-survival) qgcomp MSM.
plot.qgcompfit	Default plotting method for a qgcompfit object
pointwisebound.boot	Estimating pointwise comparisons for qgcomp.boot objects
pointwisebound.noboot	Estimating pointwise comparisons for qgcomp.noboot objects
predict.qgcompfit	Default prediction method for a qgcompfit object (non-survival outcomes only)
print.qgcompfit	Default printing method for a qgcompfit object
qgcomp	Quantile g-computation for continuous, binary, count, and censored survival outcomes
qgcomp.boot	Quantile g-computation for continuous and binary outcomes
qgcomp.cox.boot	Quantile g-computation for survival outcomes
qgcomp.cox.noboot	Quantile g-computation for survival outcomes under linearity/additivity
qgcomp.hurdle.boot	Quantile g-computation for hurdle count outcomes
qgcomp.hurdle.noboot	Quantile g-computation for hurdle count outcomes under linearity/additivity
qgcomp.noboot	Quantile g-computation for continuous, binary, and count outcomes under linearity/additivity
qgcomp.partials	Partial effect sizes, confidence intervals, hypothesis tests
qgcomp.survcurve.boot	Survival curve data from a qgcomp survival fit
qgcomp.zi.boot	Quantile g-computation for zero-inflated count outcomes
qgcomp.zi.noboot	Quantile g-computation for zero-inflated count outcomes under linearity/additivity
quantize	Quantizing exposure data
se_comb	Calculate standard error of weighted linear combination of random variables
simdata_quantized	Simulate quantized exposures for testing methods
split_data	Perform sample splitting
tidy.qgcompfit	Tidy method for qgcompfit object
vc_comb	Calculate covariance matrix between one random variable and a linear combination of random variables
zimsm.fit	Secondary prediction method for the (zero-inflated) qgcomp MSM.
zimsm.fit.control	Control of fitting parameters for zero inflated MSMs