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Plot absolute predictions from a fitted ML-UMR model

Source: R/plot.R
plot.mlumr_prediction.Rd

Dispatches on the prediction type: time-indexed types ("survival", "hazard", "cumhaz", "loghr") are drawn as curves with credible bands at the coverage the result was summarized with; scalar types ("rmst", "median", "response") as point-intervals. The mlumr analogue of plot(predict(multinma_fit)).

Usage

# S3 method for class 'mlumr_prediction'
plot(x, ref_line = NULL, ...)

Arguments

x

A predict() result (an mlumr_prediction).

ref_line

Optional numeric null-reference line(s). Drawn as horizontal line(s) for curve types and vertical line(s) for scalar types, mirroring the plot(predict(fit), ref_line = c(0, 1)) idiom (e.g. probability bounds for type = "response"). The log-hazard-ratio curve defaults to ref_line = 0.

...

Unused.

Value

A ggplot object (compose further layers, e.g. a KM overlay, with +).

See also

predict.mlumr_fit(), geom_km()

Examples

if (FALSE) { # \dontrun{
plot(predict(fit, type = "survival")) + geom_km(dat)
plot(predict(fit, type = "response"), ref_line = c(0, 1))
plot(predict(fit, type = "loghr"))
} # }