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Contributed R Packages

Below is a list of all packages provided by project si4bayesmeta:Sensitivity-Identification.

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Sensitivity and Identification for the Bayesian Meta-Analysis

  Sensitivity and identification estimates for all the parameters in the Bayesian normal-normal hierarchical model (NNHM) induced by a Half-Normal (HN) and a Half-Cauchy (HC) heterogeneity priors are produced by two d2BC_S_I_HN_raw and d2BC_S_I_HC_raw functions. Six scenarios are considered: target relative latent model complexity (RLMC) values fixed at 0.25, 0.5 and 0.75 with RLMC-adjusted HN and HC heterogeneity priors. Corresponding posterior estimates can be obtained by the functions raw_estimates_HN and raw_estimates_HC. The methodology implemented in this package has been developed in Roos et al. (2020).
  Version: 0.1-1 | Last change: 2019-12-16 14:44:22+01 | Rev.: 2
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("si4bayesmeta", repos="")
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


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