Shiny app for exploring clustering solutions

Opening the GUI to cluster the data points based on the predictions. Coordinates and distances are computed on the fly, or can be entered in the function call.

pandemonium(pred, covInv, wc, exp, user_coord = NULL, user_dist = NULL)

Arguments

pred	prediction matrix
covInv	inverse covariance matrix
wc	matrix specifying the model parameters (on a grid)
exp	observable reference value (e.g. experimental measurement)
user_coord	input coordinate matrix (optional)
user_dist	input distance matrix (optional)

Examples

if (FALSE) {
pandemonium(b_anomaly$pred, b_anomaly$covInv, b_anomaly$wc, b_anomaly$exp)
}