%0 Generic %A Ovaskainen, Otso %A Soininen, Janne %D 2016 %T Supplement 1. Source code for parameter estimation. %U https://wiley.figshare.com/articles/dataset/Supplement_1_Source_code_for_parameter_estimation_/3550611 %R 10.6084/m9.figshare.3550611.v1 %2 https://wiley.figshare.com/ndownloader/files/5617920 %2 https://wiley.figshare.com/ndownloader/files/5617926 %2 https://wiley.figshare.com/ndownloader/files/5617929 %2 https://wiley.figshare.com/ndownloader/files/5617932 %2 https://wiley.figshare.com/ndownloader/files/5617935 %2 https://wiley.figshare.com/ndownloader/files/5617938 %2 https://wiley.figshare.com/ndownloader/files/5617941 %K diatoms %K predictive power %K Bayesian inference %K species community %K species distribution model %K statistical modeling %K hierarchical modeling %K Environmental Science %K Ecology %X

File List

data_abundance.csv

environment.csv

Diatom_data_MCMC.nb

Simulated_data_MCMC.nb

Diatom_data_MCMC.txt

Simulated_data_MCMC.txt

Description

The MCMC sampling was implemented with Mathematica 7.0.1. The code Diatom_data_MCMC.nb can be used to apply the estimation scheme to the real diatom data, given in files data_abundance.csv and environment.csv. The code Simulated_data_MCMC.nb can be used to generate simulated data and to fit the model to the simulated data. The files Diatom_data_MCMC.txt and Simulated_data_MCMC.txt include the two Mathematica notebooks in text format.
%I Wiley