Data depths for functional data. Currently implemented: Modified Band-2 Depth, see reference.
Usage
tf_depth(x, arg, depth = "MBD", na.rm = TRUE, ...)
# S3 method for matrix
tf_depth(x, arg, depth = "MBD", na.rm = TRUE, ...)
# S3 method for tf
tf_depth(x, arg, depth = "MBD", na.rm = TRUE, ...)Arguments
- x
tf(or a matrix of evaluations)- arg
grid of evaluation points
- depth
currently available: "MBD", i.e. modified band depth
- na.rm
TRUE remove missing observations?
- ...
further arguments handed to the function computing the respective tf_depth.
References
Sun, Ying, Genton, G M, Nychka, W D (2012). “Exact fast computation of band depth for large functional datasets: How quickly can one million curves be ranked?” Stat, 1(1), 68--74.
López-Pintado, Sara, Romo, Juan (2009). “On the concept of depth for functional data.” Journal of the American statistical Association, 104(486), 718--734.