Description Usage Arguments Value Author(s) Examples
Run a simulation in parallel mode with Simulated Annealing
1 | find_best_selection_SA(area_census, insms, inseed = -1)
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area_census |
A census dataset consisting of various areas rows. |
insms |
A microsimulation object which holds the data and details of the simulation such as iterations, lexicon. |
inseed |
A number to be used for random seed. |
msm_results An object with the results of the simulation, of this area.
Dimitris Kavroudakis dimitris123@gmail.com
1 2 3 4 5 6 7 8 9 10 11 | library(sms)
data(survey)
data(census)
in.lexicon=createLexicon()
in.lexicon=addDataAssociation(in.lexicon, c("he","he"))
in.lexicon=addDataAssociation(in.lexicon, c("females","female"))
this_area=as.data.frame(census[1,]) #Select the first area from the census table
insms= new("microsimulation",census=census, panel=survey, lexicon=in.lexicon, iterations=5)
myselection= find_best_selection_SA( this_area, insms, inseed=1900)
print(myselection)
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