R package geoBayes: Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods. Functions to fit geostatistical data. The data can be continuous, binary or count data and the models implemented are flexible. Conjugate priors are assumed on some parameters while inference on the other parameters can be done through a full Bayesian analysis of by empirical Bayes methods.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Hardouin, Cécile; Cressie, Noel: Two-scale spatial models for binary data (2018)
- Roy, Vivekananda; Tan, Aixin; Flegal, James M.: Estimating standard errors for importance sampling estimators with multiple Markov chains (2018)
- Jiang, Zhichao; Ding, Peng: Robust modeling using non-elliptically contoured multivariate (t) distributions (2016)
- Roy, Vivekananda; Evangelou, Evangelos; Zhu, Zhengyuan: Efficient estimation and prediction for the Bayesian binary spatial model with flexible link functions (2016)