sim_df: Simulated Datasets
In zhicongz/AnomDetct: Anomaly Detection via Scan Statistics

Description Usage Format Details Examples

Simulated data with anomaly clusters

sim_df_N
sim_df_D
sim_df_G
sim_df_Z

Numeric vectors.

Data provided here are simulated transaction data. Each of those has multiple clusters with different locations and cluster sizes. Some of the clusters can not be seen in plot, but this scan statistics hypothesis can still be able to detect those.

## applied tran_detct on sampled data
set.seed(100); x <- sample(sim_df_D, 500)
tran_detct(x,loc = 10,HRR_kernel = "triangular", est_fun = "pt",
           MLE_unit = 1, x_unit = 0.001,
           hazard_bandwidth = 0.1, tail_obs = 100)