scan_pb_poisson_cpp: Calculate the population-based Poisson scan statistic.

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

Description

Calculate the population-based Poisson scan statistic and Monte Carlo replicates.

Usage

scan_pb_poisson_cpp(counts, baselines, zones, zone_lengths,
  store_everything, num_mcsim)

Arguments

counts	integer matrix (most recent timepoint in first row)
baselines	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	int

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_in

The estimated relative risk inside.

relrisk_in

The estimated relative risk outside.

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