plot.cuminc: Plot of predicted cumulative incidences according to a...

In CecileProust-Lima/lcmm: Extended Mixed Models Using Latent Classes and Latent Processes

Plot of predicted cumulative incidences according to a profile of covariates

Description

This function displays the predicted cause-specific cumulative incidences derived from a joint latent class model according to a profile of covariates. does. ~~

Usage

## S3 method for class 'cuminc'
plot(
  x,
  profil = 1,
  event = 1,
  add = FALSE,
  legend,
  legend.loc = "topleft",
  ...
)

Arguments

x	an object of class cuminc
profil	an integer giving the profile number for which the cumulative incidences are to be plotted.
event	an integer giving the event indicator for which the cumulative incidence are to be plotted.
add	logical indicating if the curves should be added to an existing plot. Default to FALSE.
legend	character or expression to appear in the legend. If no legend should be added, "legend" should be NULL.
legend.loc	keyword for the position of the legend from the list "bottomright", "bottom", "bottomleft", "left", "topleft","top", "topright", "right" and "center". By default, the legend is located in the top left of the plot.
...	other parameters to be passed through to plotting functions

Value

returns NULL

Author(s)

Viviane Philipps and Cecile Proust-Lima

See Also

Jointlcmm, plot.Jointlcmm, cuminc

CecileProust-Lima/lcmm documentation built on March 3, 2024, 5:23 p.m.