| 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 |