Softwares | Burak Kürsad Günhan

crmPack

Fri, 02 Sep 2022 00:00:00 +0000

I am in the development team of the R package crmPack.

Description: Implements a wide range of model-based dose escalation designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. The focus is on Bayesian inference, making it very easy to setup a new design with its own JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules.

MetaStan

Mon, 27 Apr 2020 00:00:00 +0000

MetaStan is an R package for Bayesian meta-analysis via ‘Stan’. Performs Bayesian meta-analysis and model-based meta-analysis using ‘Stan’. Includes binomial-normal hierarchical models and option to use weakly informative priors for the heterogeneity parameter and the treatment effect parameter which are described in Guenhan, Roever, and Friede (2020) doi:10.1002/jrsm.1370.

nmaINLA

Mon, 27 Apr 2020 00:00:00 +0000

nmaINLA is an R package for Bayesian network meta-analysis using integrated nested Laplace approximations (‘INLA’) which is described in Guenhan, Held, and Friede (2018) doi:10.1002/jrsm.1285. Includes methods to assess the heterogeneity and inconsistency in the network. Contains more than ten different network meta-analysis data. ‘INLA’ package can be obtained from http://www.r-inla.org. We recommend the testing version