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Posterior parameter estimates needed to create plots for analysis 10j
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2013-01-01
相关数据集
Supplement 2. R simulation code for predicting annual bycatch and mortality using WinBUGS model estimates.
File List Supplement2_RCode_PredictionByYears.R (MD5: ff27d3e2303bd8e670eea82b70f70780) Description Supplement2_RCode_PredictionByYears.R – This R code us
NIAID Data Ecosystem50
Summary of posterior predictive distributions of relative and standardized change effects.
Summary of posterior predictive distributions of relative and standardized change effects.
Figshare2022-05-05 更新50
Posterior estimates of regression coefficients of each influence factor in the varying coefficient spatial lag model.
Posterior estimates of regression coefficients of each influence factor in the varying coefficient spatial lag model.
Figshare2023-05-15 更新30
perm_day1_all
Compiled results of permutation values. The code for reproducing these permutations is in the associated R script.day1_gxg_null_mean: Mean value of the posterior parameter estimate for genotype x geno
Figshare2023-11-16 更新50
Posterior of the effective range from the full-village analysis.
Each posterior is fit according to the model of Section 2.2, using two different sets of covariate information. The 95% highest posterior density interval (HPDI) is the smallest interval such that 95%
NIAID Data Ecosystem40
