.qgcomp_object          Creating a 'qgcompfit' object
.qgcomp_object_add      Adding objects to a 'qgcompfit' object
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
homogeneity_test        Hypothesis testing about a joint effect of
                        exposures on a multinomial outcome
hurdlemsm_fit           Secondary prediction method for the (hurdle)
                        qgcomp MSM.
hurdlemsm_fit.control   Control of fitting parameters for zero inflated
                        MSMs
joint_test              Hypothesis testing about a joint effect of
                        exposures on a multinomial outcome
metals                  Well water data
mice.impute.leftcenslognorm
                        Imputation for limits of detection problems
modelbound.boot         Estimating qgcomp regression line confidence
                        bounds
modelbound.ee           Estimating qgcomp regression line confidence
                        bounds
msm.predict             Secondary prediction method for the
                        (non-survival) qgcomp MSM.
msm_fit                 Fitting marginal structural model (MSM) within
                        quantile g-computation
msm_multinomial_fit     Fitting marginal structural model (MSM) within
                        quantile g-computation
plot.qgcompfit          Default plotting method for a qgcompfit object
pointwisebound.boot     Estimating pointwise comparisons for
                        qgcomp.glm.boot objects
pointwisebound.noboot   Estimating pointwise comparisons for
                        qgcomp.glm.noboot objects
predict.qgcompfit       Default prediction method for a qgcompfit
                        object (non-survival outcomes only)
print.qgcompfit         Default printing method for a qgcompfit object
print.qgcomppartialavg
                        Default printing method for a qgcomppartialavg
                        object
print.qgcomppartialavg_boot
                        Default printing method for a qgcomppartialavg
                        object
qgcomp                  Quantile g-computation for continuous, binary,
                        count, and censored survival outcomes
qgcomp.cch.noboot       Quantile g-computation for survival outcomes in
                        a case-cohort design under linearity/additivity
qgcomp.cox.boot         Quantile g-computation for survival outcomes
qgcomp.cox.noboot       Quantile g-computation for survival outcomes
                        under linearity/additivity
qgcomp.glm.boot         Quantile g-computation for continuous and
                        binary outcomes
qgcomp.glm.ee           Quantile g-computation for continuous and
                        binary outcomes
qgcomp.glm.noboot       Quantile g-computation for continuous, binary,
                        and count 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.multinomial.boot
                        Quantile g-computation for multinomial outcomes
qgcomp.multinomial.noboot
                        Quantile g-computation for multinomial outcomes
qgcomp.partials         Partial effect sizes, confidence intervals,
                        hypothesis tests
qgcomp.survcurve.boot   Survival curve data from a qgcomp survival fit
qgcomp.tobit.noboot     Quantile g-computation for left-censored
                        outcomes
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
summary.qgcompmultfit   Summarize gcompmultfit object
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
