dx: Set options for diagnostic analysis

In overdodactyl/diagnosticSummary: Diagnostic Summaries

Set options for diagnostic analysis

Description

Use this function to return a list of tuning parameters to analyze your diagnostic test

Usage

dx(
  data,
  classlabels = c("Negative", "Positive"),
  threshold_range = NA,
  outcome_label = NA,
  pred_varname,
  true_varname,
  setthreshold = 0.5,
  poslabel = 1,
  grouping_variables = NA,
  prevalence = NA,
  citype = "exact",
  bootreps = 2000,
  bootseed = 20191015,
  doboot = FALSE,
  direction = "auto",
  ...
)

Arguments

data	A tbl.
classlabels	Labels for predicted variable. Needs to be 0, 1 order.
threshold_range	Optional. A numeric vector of thresholds to loop over.
outcome_label	Label for outcome (string)
pred_varname	Column name containing AI prediction (string)
true_varname	Column name containing AI reference standard (string)
setthreshold	A numeric value representing the threshold used to identify AI prediction
poslabel	Positive class. Variable should be coded as 0/1 with 1 being the event
grouping_variables	Character vector of variable names to be summarized by. Variables are converted to factors if not already one.
prevalence	Numeric value between 0 and 1, representing a target prevalence for additional NPV and PPV calculations.
citype	Confidence interval type.
bootreps	Number of bootstrap samples used to generate F1 score CI
bootseed	Seed value to be used when calculating bootsraped CI's
doboot	Logical. Generate bootstrap estimate of F1 confidence interval?
direction	Direction for roc comparison. See ?pROC::roc
...	currently unused

overdodactyl/diagnosticSummary documentation built on Jan. 29, 2025, 11:11 a.m.