JC69: The JC69 class

Description

This class implements Jukes-Cantor nucleotide substitution model.

Package: Class JC69

Directly known subclasses:

public static class JC69 extends UNREST

Usage

JC69(name="Anonymous", ...)

Arguments

name

Object name.

...

Additional arguments.

Fields and Methods

Methods:

	`checkConsistency`	-
	`summary`	-

Methods inherited from UNREST: checkConsistency, summary

Methods inherited from GeneralSubstitution: as.character, checkConsistency, clone, getAlphabet, getEquDist, getEventRate, getEventRateAtSite, getEventsAtSite, getQMatrix, getRate, getRateList, hasUndefinedRate, is, plot, rescaleQMatrix, sampleState, setAlphabet, setEquDist, setQMatrix, setRate, setRateList, summary

Methods inherited from Process: !=, ==, as.character, checkConsistency, clone, getAlphabet, getEventsAtSite, getId, getName, getParameterAtSite, getSiteSpecificParamIds, getSiteSpecificParamList, getWriteProtected, hasSiteSpecificParameter, hasUndefinedRate, is, setAlphabet, setId, setName, setParameterAtSite, setSiteSpecificParamIds, setSiteSpecificParamList, setWriteProtected, summary

Methods inherited from PSRoot: checkConsistency, enableVirtual, getComments, getMethodsList, globalConsistencyCheck, intersect.list, is, is.na, ll, my.all.equal, plot, setComments, setMethodsList, summary, virtualAssignmentForbidden

Methods inherited from Object: $, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clearLookupCache, clone, detach, equals, extend, finalize, getEnvironment, getFieldModifier, getFieldModifiers, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, names, objectSize, print, save

References

Jukes, TH and Cantor, CR (1969) Evolution of protein molecules. Pp. 21-123 in H. N. Munro, ed. Mammalian protein metabolism. Academic Press, New York.

Examples

Run this code

# NOT RUN {
       p<-JC69()
       # get a summary
       summary(p)
	# display a bubble plot
	plot(p)

	# The following code demonstrates how to use
	# the process in a simulation.

	# create a sequence, attach process p
	s<-NucleotideSequence(length=20,processes=list(list(p)))
	# sample states
	sampleStates(s)
	# make the first five positions invariable
	setRateMultipliers(s,p,0,1:5)
	# get rate multipliers
	getRateMultipliers(s,p)
	# create a simulation object
	sim<-PhyloSim(root.seq=s,phylo=rcoal(2))
	# run simulation
	Simulate(sim)
	# print alignment
	sim$alignment
 
# }