Plot longitudinal observations and predicted survival curve for one individual

Produces a single-panel plot with a common time axis. The left of the landmark dashed line shows the individual's observed longitudinal measurements; the right shows their predicted survival curve. The summary value at the landmark that feeds into the survival sub-model is highlighted.

Usage

# S4 method for class 'LandmarkAnalysis'
plot(x, id, landmark, dynamic_covariate, horizon = NULL, train = TRUE, ...)

Arguments

x

An object of class LandmarkAnalysis.

id

Identifier of the individual to plot. Must match a value in the column x@ids.

landmark

Numeric landmark time.

dynamic_covariate

Character name of the dynamic covariate to display.

horizon

Numeric horizon time. If NULL (default), uses the single available horizon for landmark; errors when multiple horizons are available.

train

Logical. If TRUE (default), uses in-sample predictions. If FALSE, uses out-of-sample predictions (requires validation_fold > 0 in predict_survival).

...

Additional arguments (not currently used).

Value

A ggplot object.