Masatoshi Sugeno, Stephan B. Munch. 2013. A semiparametric Bayesian approach to estimating maximum reproductive rates at low population sizes. Ecological Applications 23:699–709. http://dx.doi.org/10.1890/12-0453.1
Supplement
Matlab software used in this study.
Ecological Archives A023-034-S1.
Authors
File list (downloads)
Description
Masatoshi Sugeno
School of Marine and Atmospheric Sciences
Stony Brook University
Stony Brook, NY 11794-5000 USA
Email: masatoshi.sugeno@gmail.com
Stephan B. Munch
Southwest Fisheries Science Center
110 Shafer Rd. Santa Cruz, CA 95060 USA
File list
Folder lists:
Data
GP(the linear model)
GP(the constant model)
GP(the S model)
GP(the lnS model)
Ricker(integral)
BH(integral)
Description
'Data' contains a script file used for generating simulated data sets.
'GP(the linear model)' contains functions used for running the semiparametric Bayesian model with the linear mean function) to estimate log(alpha). The outputs of this model is mean ('mloga') and variance ('vloga)' of the posterior distribution of 'log(alpha)', where 'alpha' is reproductive rate estimated at S=0.
'GP(the constant model)' contains functions used for running the semiparametric Bayesian model (with the constant mean function) to estimate log(alpha). The outputs of this model is mean ('mloga') and variance ('vloga)' of the posterior distribution of 'log(alpha)', where 'alpha' is reproductive rate estimated at S=0.
'GP(the S model)' contains functions used for running the semiparametric Bayesian model (un-conditional model) to estimate log(alpha). The outputs of this model is mean ('mloga') and variance ('vloga)' of the posterior distribution of 'log(alpha)', where 'alpha' is reproductive rate estimated at S=0.
'GP(GP(the lnS model))' contains functions used for running the semiparametric Bayesian model (un-conditional model) to estimate log(alpha) (developed in Munch et al. 2005). The outputs of this model is mean ('mloga') and variance ('vloga)' of the posterior distribution of 'log(alpha)', where 'alpha' is reproductive rate estimated at S=0.
'Ricker(integral)' contains functions used for estimating log(alpha) using the Ricker model. The outputs of this model is mean ('mloga') and variance ('vloga)' of the posterior distribution of 'log(alpha)', where 'alpha' is reproductive rate estimated at S=0.
'BH(integral)' contains functions used for estimating log(alpha) using the Beverton-Holt model. The outputs of this model is mean ('mloga') and variance ('vloga)' of the posterior distribution of 'log(alpha)', where 'alpha' is reproductive rate estimated at S=0.
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