scan_eb_negbin_cpp: Calculate the expectation-based negative binomial scan...

In BenjaK/scanstatistics: Space-Time Anomaly Detection using Scan Statistics

Description

Calculate the expectation-based negative binomial scan statistic and Monte Carlo replicates.

Usage

scan_eb_negbin_cpp(counts, baselines, overdisp, zones, zone_lengths,
  store_everything, num_mcsim, score_hotspot)

Arguments

counts	Integer matrix (most recent timepoint in first row)
baselines	Matrix (most recent timepoint in first row)
overdisp	Matrix (most recent timepoint in first row)
zones	Integer vector (all zones concatenated; locations indexed from 0 and up)
zone_lengths	Integer vector
store_everything	Boolean
num_mcsim	Integer
score_hotspot	Boolean

Value

A list with elements observed and simulated, each being a data frame with columns:

zone

The top-scoring zone (spatial component of MLC).

duration

The corresponding duration (time-length of MLC).

score

The value of the loglihood ratio statistic (the scan statistic).

relrisk

The estimated relative risk.

n_iter

The number of iterations performed by the EM algorithm.

BenjaK/scanstatistics documentation built on May 5, 2019, 2:41 p.m.