fitSeveralAbundModel: Run model.littleR.Gibbs for a series of census databases.
In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics

Description Usage Arguments See Also

Run model.littleR.Gibbs() for a series of census databases, for every successive pair, then the first to the last. Then repeat for 10 times the initial mindbh.

fitSeveralAbundModel(allcns = list(bci.full1, bci.full2, bci.full3),
  sptable = bci.spptable, mindbh, excludespp = NULL,
  useIDlevel = TRUE, abundrange = c(1, 1e+06), start = c(-3, 0.8,
  0.01, -0.5), modeltype = "asympower",
  bad.modelparam = bad.asympower.param, steps = 10000, burn = 1000,
  show = 250, debug = FALSE)

`allcns`	Full R census, submitted as a list (as many as desired).
`mindbh`	The minimum diameter above which the counts are done. Trees smaller than `mindbh` are excluded. If `NULL`, all living trees are included.
`abundrange`	the default includes every species, but this can be set to a minimum and maximum abundance (first census); species with abundances outside the range are excluded
`start`	A vector giving the starting set of parameters for the model. It must be as long as the number of parameters required by the model.
`modeltype`	Functional forms to fit to the distribution; it can be: Gaussian `modeltype = "norm"`, with the quotes Asymmetric Gaussian (a different standard deviation on left and right of the mode) `modeltype = "asymnorm"`, with the quotes Laplace (exponential distribution, with mirror image for negative values) `modeltype = "symexp"`, with the quotes Asymmetric Laplace (different rate constant for left and right of the center) `modeltype = "asymexp"`, with the quotes Asymmetric power distribution (different rate constant for left and right of the center) 'modeltype = "asympower", with the quotes.
`bad.modelparam`	name of a function which checks the model parameters for bad values; for modeltype asymexp, must be bad.asymexp.param, for modeltype asympower, must be bad.asympower.param
`steps`	The number of steps to run the Gibbs sampler.
`burn`	number of steps of sampler to exclude as burn-in
`debug`	Logical. If TRUE, call browser to debug.