SCM

si4bayesmeta:Sensitivity-Identification: Project Home – R-Forge

Project description

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 two functions raw_estimates_HN and raw_estimates_HC. The methodology implemented in this package has been developed in Roos et al. (2020).

Project Information

Registered: 2019-12-15 21:12
Activity Ranking: 0
View project Statistics
View list of RSS feeds available for this project.
Public Tools
Mailing Lists (0 public mailing lists)
SCM Repository (Subversion: 0 updates, 48 adds)
Thanks to:
Vienna University of Economics and Business Powered By FusionForge