RMSDp | R Documentation |
This function is for multivariate outlier detection. version 0.0.1 2013/06/15 Related paper: DOI: 10.1109/CLOUDCOM-ASIA.2013.86 version 0.0.2 2021/11/15 Outlier detection step added version 0.0.3 2022/08/12 Bug fixed about Random seed setting
RMSDp(inp, cores = 0, nb = 0, sd = 0, pt = 0.999, dv = 10000)
inp |
input data (a numeric matrix) |
cores |
number of cores used for this function |
nb |
number of basis |
sd |
seed (for reproducibility) |
pt |
threshold for outlier detection (probability) |
dv |
maximum number of elements processed together on the same core |
a list of the following information
u final mean vector
V final covariance matrix
wt final weights
mah squared squared Mahalanobis distances
cf threshold to detect outlier (percentile point)
ot outlier flag (1:normal observation, 2:outlier)
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