test_that("inverseSurv works at high parameters", {
#library(paleotree)
# let's simulate some taxon ranges from an imperfectly sampled fossil record
set.seed(444)
record <- simFossilRecord(p = 0.1, q = 0.1, nruns = 1,
nTotalTaxa = c(30,40), nExtant = 0)
taxa <- fossilRecord2fossilTaxa(record)
rangesCont <- sampleRanges(taxa,r = 0.5)
#bin the ranges into discrete time intervals
rangesDisc <- binTimeData(rangesCont,int.length = 5)
#apply make_inverseSurv
likFun <- make_inverseSurv(rangesDisc)
#use constrainParPaleo to make the model time-homogeneous
#match.all ~ match.all will match parameters so only 2 pars: p = q and r
constrFun <- constrainParPaleo(likFun, match.all~match.all)
#unconstrained function with ALL of the 225 possible parameters!!!
# this will take forever to converge
res <- optim(parInit(likFun),likFun,
lower = parLower(likFun), upper = parUpper(likFun),
method = "L-BFGS-B", control = list(maxit = 3))
expect_false(any(is.na(res)))
})
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