Description Usage Arguments Value Author(s) References Examples
This function calculates the marginal distribution of the number of endemics and non-endemics and their sum for a given set of parameter values, a given mainland species pool size and a given set of times
1 2  | DAISIE_margprobdist(pars1, pars2, tvec, initEI = c(0, 0),
  initprobs = NULL, pb = NULL)
 | 
pars1 | 
 Vector of model parameters:   | 
pars2 | 
 Vector of settings:   | 
tvec | 
 The times at which the probabilities need to be computed.  | 
initEI | 
 The initial values for the number of endemics and non-endemics; either this or initprobs must be NULL  | 
initprobs | 
 The initial probability distribution for the number of endemics and non-endemics; either this or initEI must be NULL  | 
pb | 
 Rather than computing the joint distribution from given parameter values, one can also specify a precomputed probability distribution in the matrix format of DAISIE_probdist.  | 
out | 
 A list of three vectors:   | 
Rampal S. Etienne
Valente, L.M., A.B. Phillimore and R.S. Etienne (2015). Equilibrium and non-equilibrium dynamics simultaneously operate in the Galapagos islands. Ecology Letters 18: 844-852.
1 2 3 4 5 6 7 8 9 10 11 12  | ### Compute the marginal probability distributions at t = 4 and t = 8, for a mainland
# pool size of 250 potential colonists and a vector of 5 parameters (cladogenesis,
# extinction, clade-level carrying capacity, immigration, anagenesis) starting from
# an empty island
marg_prob_dists <- DAISIE_margprobdist(
   pars1 = c(0.3,0.35,Inf,0.75,0.012),
   pars2 = c(100,250),
   tvec = c(4,8),
   initEI = c(5,1),
   initprobs = NULL
   )
 | 
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