Function reference • CMAverse

All functions
`cma2020`	The Dataset cma2020
`cmdag()`	DAG Visualization
`cmest()` `print(<cmest>)` `summary(<cmest>)` `print(<summary.cmest>)`	Causal Mediation Analysis
`cmest_multistate()`	Causal Mediation Analysis with the Multistate Approach
`cmest_rb()`	Causal Mediation Analysis with the Regression-Based Approach
`cmsens()` `print(<cmsens.uc>)` `print(<cmsens.me>)` `summary(<cmsens.me>)` `print(<summary.cmsens.me>)`	Sensitivity Analysis For Unmeasured Confounding and Measurement Error
`ggcmest()`	Plotting Point Estimates and Confidence Intervals of Causal Effects
`ggcmsens()`	Plotting Results of Sensitivity Analysis for Measurement Error
`rcreg()` `coef(<rcreg>)` `vcov(<rcreg>)` `sigma(<rcreg>)` `formula(<rcreg>)` `family(<rcreg>)` `predict(<rcreg>)` `model.frame(<rcreg>)` `print(<rcreg>)` `summary(<rcreg>)` `print(<summary.rcreg>)` `update(<rcreg>)`	Regression Calibration for Measurement Error Correction
`simexreg()` `coef(<simexreg>)` `vcov(<simexreg>)` `sigma(<simexreg>)` `formula(<simexreg>)` `family(<simexreg>)` `predict(<simexreg>)` `model.frame(<simexreg>)` `print(<simexreg>)` `summary(<simexreg>)` `print(<summary.simexreg>)` `update(<simexreg>)`	Simulation and Extrapolation for Measurement Error Correction
`svymultinom()` `coef(<svymultinom>)` `vcov(<svymultinom>)` `formula(<svymultinom>)` `predict(<svymultinom>)` `model.frame(<svymultinom>)` `print(<svymultinom>)` `summary(<svymultinom>)` `print(<summary.svymultinom>)` `update(<svymultinom>)`	Multinomial Regression with Survey Data

Reference