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Carrying capacity in R

3 messages · Peter Solymos, Manuel Spínola

Original
Peter Solymos
# 
Manuel,

As a starter you can fit nonlinear models using growth functions, and
calculate carrying capacity from estimated model parameters
(stats:::nle, lme4:::nlmer).

I am not sure if this is of big help as it is still in development,
but our PVAClone R package is almost ready for its 1st CRAN submission
and can be found at the developmental R-Forge site:
https://r-forge.r-project.org/projects/dcr/

The PVAClone package offers likelihood based population viability
analysis in the presence of observation error and missing data.
Currently it can be used to fit and compare support for models based
on Gompertz and Ricker growth models with no observation error, Normal
or Poisson observation error as described in these papers (other
growth models and forecasting is soon to be added):

Ponciano, J. M. et al. 2009. Hierarchical models in ecology:
confidence intervals, hypothesis testing, and model selection using
data cloning. Ecology 90, 356-362.

Nadeem, K., Lele S. R., 2012.  Likelihood based population viability
analysis in the presence of observation error. Oikos. doi:
10.1111/j.1600-0706.2011.20010.x

Cheers,

Peter

--
P?ter S?lymos, Dept Biol Sci, Univ Alberta, T6G 2E9, Canada AB
solymos at ualberta.ca, Ph 780.492.8534, http://psolymos.github.com
Alberta Biodiversity Monitoring Institute, http://www.abmi.ca
Boreal Avian Modelling Project, http://www.borealbirds.ca


2012/6/28 Manuel Sp?nola <mspinola10 at gmail.com>: