Finds a rule (set of FPC score conditions) that anchors the prediction
to a narrow range with high precision.
Usage
fregre.anchor(model, data, observation, precision = 0.95, n.bins = 10)
Arguments
- model
A fitted fregre.lm or fregre.logistic model.
- data
An fdata object.
- observation
Index of the observation (1-based).
- precision
Minimum precision threshold (default 0.95).
- n.bins
Number of bins for discretizing scores (default 10).
Value
A list with conditions, precision, coverage, n_matching,
observation, and predicted_value.
Examples
# \donttest{
fd <- fdata(matrix(rnorm(500), nrow = 50), argvals = seq(0, 1, length.out = 10))
y <- rnorm(50)
fit <- fregre.lm(fd, y, ncomp = 3)
result <- fregre.anchor(fit, fd, observation = 1)
# }