Description Usage Arguments Value

This function will create a `ggplot2`

figure with propensity scores on the
x-axis and the outcome on the y-axis. Three Loess regression lines will be plotted
based upon the propensity scores from `model`

. Since each model produces
propensity scores for two of the three groups, the propensity score for the third
group in each matched triplet will be the mean of the other two. If `model`

is not specified, the default will be to use the model that estimates the propensity
scores for the first two groups in the matching order.

1 2 3 4 | ```
loess3.plot(tmatch, outcome, model, ylab = "Outcome",
plot.connections = FALSE, connections.color = "black",
connections.alpha = 0.2, plot.points = geom_point, points.alpha = 0.1,
points.palette = "Dark2", ...)
``` |

`tmatch` |
the results of |

`outcome` |
a vector representing the outcomes. |

`model` |
an integer between 1 and 3 indicating from which model the propensity scores will be used. |

`ylab` |
the label for the y-axis. |

`plot.connections` |
boolean indicating whether lines will be drawn connecting each matched triplet. |

`connections.color` |
the line color of connections. |

`connections.alpha` |
number between 0 and 1 representing the alpha levels for connection lines. |

`plot.points` |
a |

`points.alpha` |
number between 0 and 1 representing the alpha level for the points. |

`points.palette` |
the color palette to use. See |

`...` |
other parameters passed to |

a `ggplot2`

figure.

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