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.

Komatsu_2023JJFS_stan_model.stan
- rstan 之贝叶斯分析方法模型文件。
- 采用层次贝叶斯模型，以野生蘑菇中137Cs浓度之普通对数值为目标变量，并考虑物种平均浓度（r_sp）、物种浓度误差（r_sigma）及市政浓度效应（r_mun）的随机效应。
- 模型包含于相关材料1中的式（1）至式（5）。
post_stan.RData
- 用于存储由层次贝叶斯模型获得的后验分布结果的 RData 文件（后验：以列表形式排列的变量）
- post$species：与 rsp 和 rsigma 列对应的物种名称
- post$rsp：物种的随机效应
- post$rsigma：按物种划分的个体标准差
- post$mu_sp：rsp 中均值的高斯超参数
- post$sigma_sp：rsp 中标准差的高斯超参数
- post$mu_sigma：rsigma 中均值的高斯超参数
- post$sigma_sigma：rsigma 中标准差的高斯超参数
- post$sigma_mun：rmun 中标准差的高斯超参数
-市政（rmun）的随机效应的后验结果被排除。