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4 projects in result set.
| 0. Visualizations for MCMCregress - The R package mpplot creates coefficient plots for regression models for MCMCregress models created with MCMCpack. It can also be used to predict new cases, create interaction plots, and create short tables of regression results. There are no dependencies beyond the graphics package which is part of the R installation, and the MCMCpack which is used for these regression models in the first place. | |
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Registered: 2025-09-02 21:15 |
| 1. si4bayesmeta:Sensitivity-Identification - 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). | |
| Activity Percentile: 0.00 Registered: 2019-12-15 21:12 | |
| 2. Hybrid Monte Carlo - Hybrid Monte Carlo (HybridMC): sampling from continuous joint distributions using Hamiltonian (or Hybrid) Monte Carlo techniques. | |
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Activity Percentile: 0.00 Registered: 2009-09-13 13:14 |
| 3. R2jags - A package for running jags from R | |
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Activity Percentile: 0.00 Registered: 2008-05-10 19:19 |

