Quantile G-Computation


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Documentation for package ‘qgcomp’ version 2.2.2

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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
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.noboot quantile g-computation for continuous, binary, and count outcomes under linearity/additivity
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
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