Man pages for qgcomp
Quantile G-Computation
| checknames | Check for valid model terms in a qgcomp fit |
| coxmsm_fit | Marginal structural Cox model (MSM) fitting within quantile... |
| glance.qgcompfit | Glance at a qgcompfit object |
| homogeneity_test | Hypothesis testing about joint effect of exposures on a... |
| homogeneity_test.qgcompmultfit | Hypothesis testing about joint effect of exposures on a... |
| 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... |
| joint_test.qgcompmultfit | Hypothesis testing about joint effect of exposures on a... |
| 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... |
| msm_multinomial_fit | Fitting marginal structural model (MSM) within quantile... |
| msm.predict | Secondary prediction method for the (non-survival) qgcomp... |
| 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... |
| predict.qgcompfit | Default prediction method for a qgcompfit object... |
| print.qgcompfit | Default printing method for a qgcompfit object |
| qgcomp | Quantile g-computation for continuous, binary, count, and... |
| qgcomp.cch.noboot | Quantile g-computation for survival outcomes in a case-cohort... |
| qgcomp.cox.boot | Quantile g-computation for survival outcomes |
| qgcomp.cox.noboot | Quantile g-computation for survival outcomes under... |
| qgcomp.glm.boot | Quantile g-computation for continuous and binary outcomes |
| qgcomp.glm.noboot | Quantile g-computation for continuous, binary, and count... |
| qgcomp.hurdle.boot | Quantile g-computation for hurdle count outcomes |
| qgcomp.hurdle.noboot | Quantile g-computation for hurdle count outcomes under... |
| 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... |
| quantize | Quantizing exposure data |
| se_comb | Calculate standard error of weighted linear combination of... |
| 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... |
| zimsm_fit | Secondary prediction method for the (zero-inflated) qgcomp... |
| zimsm_fit.control | Control of fitting parameters for zero inflated MSMs |
