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 joint effect of
                        exposures on a multinomial outcome
homogeneity_test.qgcompmultfit
                        Hypothesis testing about 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 joint effect of
                        exposures on a multinomial outcome
joint_test.qgcompmultfit
                        Hypothesis testing about 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
msm_fit                 Fitting marginal structural model (MSM) within
                        quantile g-computation
msm_multinomial_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.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
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.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.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
