bmstdr - Bayesian Modeling of Spatio-Temporal Data with R
Fits, validates and compares a number of Bayesian models for spatial and space time point referenced and areal unit data. Model fitting is done using several packages: 'rstan', 'INLA', 'spBayes', 'spTimer', 'spTDyn', 'CARBayes' and 'CARBayesST'. Model comparison is performed using the DIC and WAIC, and K-fold cross-validation where the user is free to select their own subset of data rows for validation. Sahu (2022) <doi:10.1201/9780429318443> describes the methods in detail.
Last updated 1 years ago
bayesianmodellingspatio-temporal-datacpp
4.95 score 15 stars 12 scripts 398 downloadsipsRdbs - Introduction to Probability, Statistics and R for Data-Based Sciences
Contains data sets, programmes and illustrations discussed in the book, "Introduction to Probability, Statistics and R: Foundations for Data-Based Sciences." Sahu (2024, isbn:9783031378645) describes the methods in detail.
Last updated 11 months ago
3.70 score 1 stars 2 scripts 358 downloads