Bayesian model and posterior distribution dataset for estimating the distribution of ¹³⁷Cs concentrations in various wild mushroom species in Japanese municipalities

Komatsu_2023JJFS_stan_model.stan

    - Model file for Bayesian analysis with rstan.

    - Hierarchical Bayesian model with the ordinary logarithm of ¹³⁷Cs concentration in wild mushrooms as the objective variable and the random effects of the mean concentration for species (r_sp), the error in concentration per species (r_sigma) and the concentration effect per municipality (r_mun).

    - Consists of eqs. (1)-(5) in RELATED MATERIALS 1.

post_stan.RData

    - RData file to store the results of the posterior distribution obtained by the hierarchical Bayesian model (post: variables in list format)

        - post$species: species names corresponding to columns in rsp and rsigma

        - post$rsp: random effect of species

        - post$rsigma: standard deviation of individuals by species

        - post$mu_sp: hyper parameter of mean in rsp

        - post$sigma_sp: hyper parameter of standard deviation in rsp

        - post$mu_sigma: hyper parameter of mu in rsigma

        - post$sigma_sigma: hyper parameter of standard deviation in rsigma

        - post$sigma_mun: hyper parameter of standard deviation in rmun

    - Posterior results of random effects of municipality (rmun) is excluded.