Splus/R code for performing cluster detection tests based on
cases (Besag and Newell, 1991) and events (Rosychuk, Huston, and Prasad, 2006).<BR><BR>

<A HREF="cluster_case_event.txt">source code</A><BR><BR>

Information on key functions:<BR>
<A HREF="case.test.txt">case.test</A>: Conduct the cluster detection based on cases.<BR>
<A HREF="get.kmat.case.txt">get.kmat.case</A>: Find the cluster sizes for the testing
algorithm based on cases.<BR>
<A HREF="sim.case.calc.txt">sim.case.calc</A>: Conduct the Monte Carlo simulations to obtain the overall clustering for
the cluster detection based on cases.<BR>
<A HREF="event.test.txt">event.test</A>: Conduct the cluster detection
based on event.<BR>
<A HREF="get.kmat.event.txt">get.kmat.event</A>: Find the cluster sizes for the testing algorithm based on events.<BR>
<A HREF="sim.event.calc.txt">sim.event.calc</A>: Conduct the Monte Carlo simulations to obtain the overall clustering for
the cluster detection based on events.<BR>

<BR><BR><BR>
Splus/R code for performing cluster detection tests based on events using a normal approximation (Torabi and Rosychuk, Submitted).
<BR><BR>

<A HREF="normalevent_source.txt">source code</A><BR><BR>

Information on key functions:<BR>
<A HREF="normalevent_help.txt">normalevent</A>: Conduct the cluster detection based on events using a normal approximation.<BR>