Plots sensitivity analysis for coloc results

Usage

coloc_sensitivity(
  obj,
  rule = "H4 > 0.8",
  trait1_title = "trait 1",
  trait2_title = "trait 2",
  dataset1 = NULL,
  dataset2 = NULL,
  npoints = 100,
  suppress_messages = FALSE,
  row = 1,
  data_check_trait1 = NULL,
  data_check_trait2 = NULL
)

Arguments

obj: Output from coloc.detail or coloc.process.
rule: Decision rule for acceptable posterior probabilities.
trait1_title: Title for the first trait (default: "trait 1").
trait2_title: Title for the second trait (default: "trait 2").
dataset1: Optional dataset for the first trait.
dataset2: Optional dataset for the second trait.
npoints: Number of points for evaluating prior values. Default is 100.
suppress_messages: Logical, whether to suppress messages (default is FALSE).
row: Row number for coloc summary if multiple rows are present. Default is 1.
data_check_trait1: Data for trait 1 to be checked.
data_check_trait2: Data for trait 2 to be checked.

Value

List of prior matrix, posterior matrix, and a pass/fail indicator (returned invisibly).