predictionSet {fabPrediction} | R Documentation |
Wrapper to obtain a prediction set for categorical data
Description
This function computes a prediction set from a number of methods.
Usage
predictionSet(
Y,
method = "FAB",
alpha = 0.15,
gamma = rep(1, length(Y)),
category_names = 1:length(Y)
)
Arguments
Y |
Observed data vector |
method |
Choice of prediction method. Options include FAB, direct, Bayes. |
alpha |
Prediction mis-coverage rate |
gamma |
Dirichlet prior concentration for FAB/Bayes methods |
category_names |
Category names (optional) |
Value
pred object containing prediction set and interval coverage
Examples
# obtain example categorical data
set.seed(1)
prob = rdirichlet(50:1)
y = rmultinom(1,15,prob)
fab.set = predictionSet(y,
method = "FAB",
gamma = c(50:1))
plot(fab.set)
[Package fabPrediction version 1.0.4 Index]