R package BMA: Bayesian Model Averaging. Package for Bayesian model averaging for linear models, generalizable linear models and survival models (cox regression).
Keywords for this software
References in zbMATH (referenced in 7 articles , 1 standard article )
Showing results 1 to 7 of 7.
- Leopoldo Catania; Nima Nonejad: Dynamic Model Averaging for Practitioners in Economics and Finance: The eDMA Package (2018)
- Luca Scrucca; Adrian Raftery: clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R (2018)
- Xu, Jing; Tong, Xing-wei; Wang, Fang; Chen, Jian-ping: Learning dynamic causal relationships among sugar prices (2017)
- Vincenzo Lagani, Giorgos Athineou, Alessio Farcomeni, Michail Tsagris, Ioannis Tsamardinos: Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets (2016) arXiv
- Marcin Błażejowski; Jacek Kwiatkowski: Bayesian Model Averaging and Jointness Measures for gretl (2015)
- Liu, Juxin; Gustafson, Paul: On the detectability of different forms of interaction in regression models (2012)
- Buchholz, Anika; Holländer, Norbert; Sauerbrei, Willi: On properties of predictors derived with a two-step bootstrap model averaging approach-A simulation study in the linear regression model (2008)