Add to ORKGDescription The package is able to fit, spatially predict and temporally fore-cast large amounts of space-time data using [1] Bayesian Gaussian Process (GP) Mod-els, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian Predictive Pro-cesses (GPP) based AR Models for big-n problem
The geostan R package supports a complete spatial analysis workflow with Bayesian models for areal d...
Description Improved predictive models by indirect classification and bagging for classification, re...
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and pred...
Imports fields, methods Description Bayesian geostatistical modeling of Gaussian processes using a r...
Description The georob package provides functions for fitting linear models with spatially correlate...
Contains fulltext : 129937.pdf (publisher's version ) (Closed access)The GPstuff t...
This paper describes and illustrates functionality of the spNNGP R package. The package provides a s...
Depends R (> = 2.2.1), gamlss, survival Description This is an add on package to GAMLSS. It allow...
Hierarchical Bayesian modeling of large point-referenced space-time data is increasingly becoming fe...
The principles behind the interface to continuous domain spatial models in the R-INLA software packa...
Hierarchical Bayesian modeling of large point-referenced space-time data is increasingly becoming fe...
Hierarchical Bayesian modeling of large point-referenced space-time data is increas-ingly becoming f...
R topics documented: c.sarprobit.......................................... 2 CKM.......................
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and pred...
The geostan R package supports a complete spatial analysis workflow with Bayesian models for areal d...
Description Improved predictive models by indirect classification and bagging for classification, re...
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and pred...
Imports fields, methods Description Bayesian geostatistical modeling of Gaussian processes using a r...
Description The georob package provides functions for fitting linear models with spatially correlate...
Contains fulltext : 129937.pdf (publisher's version ) (Closed access)The GPstuff t...
This paper describes and illustrates functionality of the spNNGP R package. The package provides a s...
Depends R (> = 2.2.1), gamlss, survival Description This is an add on package to GAMLSS. It allow...
Hierarchical Bayesian modeling of large point-referenced space-time data is increasingly becoming fe...
The principles behind the interface to continuous domain spatial models in the R-INLA software packa...
Hierarchical Bayesian modeling of large point-referenced space-time data is increasingly becoming fe...
Hierarchical Bayesian modeling of large point-referenced space-time data is increas-ingly becoming f...
R topics documented: c.sarprobit.......................................... 2 CKM.......................
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and pred...
The geostan R package supports a complete spatial analysis workflow with Bayesian models for areal d...
Description Improved predictive models by indirect classification and bagging for classification, re...
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and pred...