plot.lago_sensitivity: Plot a LAGO sensitivity analysis

In LAGOtrials: Learn-as-You-Go Adaptive Trial Optimization

Plot a LAGO sensitivity analysis

Description

Draws the sensitivity curve with [ggplot2][ggplot2::ggplot]. By default ('show = "cost"') it plots the recommended cost against the swept value as a line with points: for an '"outcome_goal"' sweep this is the cost-of-stringency curve, and for a '"cost_multiplier"' sweep it is a straight line. With 'show = "components"' it instead plots the recommended value of each intervention component against the swept value, one coloured line per component. Rows with 'NA' outputs are dropped with a message.

Usage

## S3 method for class 'lago_sensitivity'
plot(x, show = c("cost", "components"), ...)

Arguments

x	A '"lago_sensitivity"' object from [lago_sensitivity()].
show	One of '"cost"' (default, plot 'rec_int_cost') or '"components"' (plot the per-component recommended values).
...	Ignored.

Value

A [ggplot2][ggplot2::ggplot] object, or 'NULL' invisibly when 'show = "components"' and no components are recorded.

Examples

sens <- lago_sensitivity(
  data = mtcars, outcome_name = "mpg", outcome_type = "continuous",
  glm_family = "gaussian", link = "identity",
  intervention_components = c("gear", "qsec"),
  intervention_lower_bounds = c(0, 0),
  intervention_upper_bounds = c(10, 350),
  cost_list_of_vectors = list(c(0, 4), c(4, 6)),
  outcome_goal_intention = "maximize",
  parameter = "outcome_goal", values = c(30, 35, 40)
)
plot(sens)
plot(sens, show = "components")

LAGOtrials documentation built on Nov. 5, 2026, 1:08 a.m.