McMiso (version 0.1.2)

miso: Fit Bayesian misclassification model (binary)

Description

Fit Bayesian misclassification model (binary)

Usage

miso(X, y, incr = 0.01)

Value

A list containing fitted parameters

Arguments

X

numeric matrix

y

numeric response vector

incr

numeric, increment for threshold grid

References

Cheung YK, Diaz KM. Monotone response surface of multi-factor condition: estimation and Bayes classifiers. *J R Stat Soc Series B Stat Methodol.* 2023 Apr;85(2):497-522. doi: 10.1093/jrsssb/qkad014. Epub 2023 Mar 22. PMID: 38464683; PMCID: PMC10919322.

Examples

A <- as.matrix(expand.grid(rep(list(0:1), 6)))
set.seed(2025)
X <- A[sample(nrow(A),size=500, replace = TRUE),]
y <- as.numeric(rowSums(X)>=3)
miso(X,y)