Compute probabilities of true biomarker levels

Usage

compute_prob_scores(
  dataset,
  biomarker_levels,
  biomarker_varnames = names(biomarker_levels),
  ModelScores = compute_ModelScores(biomarker_levels),
  prob_dist = compute_prob_dist(biomarker_levels = biomarker_levels, ...),
  verbose = FALSE,
  ...
)

Arguments

dataset

a data.frame() containing biomarker data in columns and observations in rows; column names must include all the values of biomarker_varnames

biomarker_levels

a list containing the levels for each biomarker

biomarker_varnames

a character() vector of biomarker variable names

ModelScores

a vector of true score levels (max size among all biomarkers)

prob_dist

a vector of probabilities of correctly classifying a biomarker level

verbose

logical() indicating whether to print debugging information

...

Arguments passed on to compute_prob_dist

prob_correct: the probability of correctly classifying the underlying biomarker level: p(obs = true)

Value

an array