nlf(object, start, est, lags, period = NA, tensor = FALSE,
nconverge=1000, nasymp=1000, seed = 1066,
transform = identity,
nrbf = 4, method = "subplex", skip.se = FALSE,
verbose = FALSE, gr = NULL,
bootstrap=FALSE, bootsamp = NULL,
lql.frac = 0.1, se.par.frac = 0.1, eval.only = FALSE,
transform.params = FALSE, ...)
nlf.objfun
, which does the statistical heavy lifting and should be consulted for details.Ellner, S. P., Bailey, B. A., Bobashev, G. V., Gallant, A. R., Grenfell, B. T. and Nychka D. W. (1998) Noise and nonlinearity in measles epidemics: combining mechanistic and statistical approaches to population modeling. American Naturalist 151, 425--440.
Kendall, B. E., Briggs, C. J., Murdoch, W. W., Turchin, P., Ellner, S. P., McCauley, E., Nisbet, R. M. and Wood S. N. (1999)
Why do populations cycle? A synthesis of statistical and mechanistic modeling approaches.
Ecology 80, 1789--1805.
Available online at
Kendall, B. E., Ellner, S. P., McCauley, E., Wood, S. N., Briggs, C. J., Murdoch, W. W. and Turchin, P. (2005)
Population cycles in the pine looper moth (Bupalus piniarius): dynamical tests of mechanistic hypotheses.
Ecological Monographs 75, 259--276.
Available online at