`ggcmest`

is used to plot results of `cmest`

nicely with plotting functions
in the ggplot2 package. Additional layers can be added to this plot using other
plotting functions in the ggplot2 package.

ggcmest( x, errorbar.width = 0.3, errorbar.size = 0.3, errorbar.colour = "black", point.size = 1, point.colour = "blue", refline = TRUE, refline.colour = "red", refline.size = 0.3 )

x | an object of class |
---|---|

errorbar.width | width of errorbars for confidence intervals. Default is |

errorbar.size | size of errorbars for confidence intervals. Default is |

errorbar.colour | colour of errorbars for confidence intervals. Default is |

point.size | size of points for point estimates. Default is |

point.colour | colour of points for point estimates. Default is |

refline | a logical value. If |

refline.colour | colour of the reference line. Default is |

refline.size | size of the reference line. Default is |

#> Warning: package 'ggplot2' was built under R version 4.0.4x <- cmest(data = cma2020, model = "rb", outcome = "contY", exposure = "A", mediator = "M2", basec = c("C1", "C2"), EMint = TRUE, mreg = list("multinomial"), yreg = "linear", astar = 0, a = 1, mval = list("M2_0"), estimation = "paramfunc", inference = "delta") ggcmest(x) + theme(axis.text.x = element_text(angle = 45))