GenerateValues: Generate parameter values
In BMhyd: PCM for Hybridization

Description Usage Arguments Details Value Author(s) References Examples

This function generate new parameter values

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	GenerateValues(par, lower, upper, max.tries=100, expand.prob=0, examined.max, 
	examined.min)

`par`	parameters of interest
`lower`	the actual lower bound for the parameters
`upper`	the actual upper bound for the parameters
`max.tries`	maximum number of attempts tp generate the parameter value. The default is set to 100.
`expand.prob`	a probability value to expand.
`examined.max`	the allowed maximum for the parameters values.
`examined.min`	the allowed minimum for the parameters values

This function generates new parameter values using the uniform distribution with the interval (L, U ) where for each of the parameter of interest, the lower bound of the interval is set to L=\max (lower, 0.9*examined.min ) and the upper bound of the interval is set to U =\min (upper, 1.1*examined.max ).

The generated parameter values.

Brian O'Meara, Dwueng-Chwuan Jhwueng.

Jhwueng D.C. and O'Meara B.C. 2014. Studying trait evolution in hybrid species on phylogenetic networks. Submitted.

Seber G.A.F., Salehi M.M. 2013. Adaptive sampling designs: Inference for spatial and clustered population. Springer.

	#parameter of interests
	mu<-1;sigma.sq<-0.1;bt<-1;vH<-0;SE<-0
	#parameters of interest
	par<-c(mu,sigma.sq,bt,vH,SE)
	#the lower bound 
	lower=c(-2,0,-10,0,0)
	#the upper bound
	upper<-c(2,1,10,100,100)
	#the exmined minimum value
	examined.min<-c(-1.8,0.001,-9.8,0,0)
	#the examined maximum value
	examined.max<-c(1.90,1.1,10.2,100,100)
	#simulate points
	sim.points<-GenerateValues(par, lower, upper, max.tries=100, expand.prob=0, 
	examined.max, examined.min)
	names(sim.points)<-c("mu","sigma.sq","bt","vH","SE")
	#show result
	sim.points