Package: geoBayes 0.7.8

Evangelos Evangelou

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.

Authors:Evangelos Evangelou [aut, cre], Vivekananda Roy [aut]

geoBayes_0.7.8.tar.gz
geoBayes_0.7.8.zip(r-4.7-x86_64)geoBayes_0.7.8.zip(r-4.7-arm64)geoBayes_0.7.8.zip(r-4.6-x86_64)geoBayes_0.7.8.zip(r-4.6-arm64)
geoBayes_0.7.8.tar.gz(r-4.7-arm64)geoBayes_0.7.8.tar.gz(r-4.7-x86_64)geoBayes_0.7.8.tar.gz(r-4.6-arm64)geoBayes_0.7.8.tar.gz(r-4.6-x86_64)
geoBayes_0.7.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
geoBayes/json (API)

# Install 'geoBayes' in R:

install.packages('geoBayes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
fortran– Runtime library for GNU Fortran applications

Datasets:

rhizoctonia - Rhizoctonia root rot infections

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas fortran glibc

1.94 score 22 scripts 706 downloads 31 exports 7 dependencies

Last updated from:245beda6a2. Checks:9 OK, 1 WARNING. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	122
linux-devel-x86_64	OK	113
source / vignettes	OK	151
linux-release-arm64	OK	119
linux-release-x86_64	OK	117
windows-devel-arm64	OK	215
windows-devel-x86_64	OK	159
windows-release-arm64	WARNING	208
windows-release-x86_64	OK	105
wasm-release	OK	105

Exports:.geoBayes_corrfcn .geoBayes_models alik_cutoff alik_inla alik_optim alik_plot bf1skel bf2new bf2optim bf2se bmbfse linkfcn linkinv mcmcmake mcsglmm mcsglmm_mala mcstrga mcstrga_mala mkpredgrid2d plotbf2 revlogreg rsglmm rsgrf rstrga select_proposals_ENT select_proposals_MNX select_proposals_SEQ spcovariance sploglik sploglik_cross stackdata

Dependencies:coda lattice nloptr numDeriv optimx pracma sp

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Readme and manuals

Help Manual

Help page	Topics
Approximate log-likelihood calculation	alik_cutoff alik_plot
Log-likelihood approximation	alik_inla
Log-likelihood maximisation	alik_optim
Computation of Bayes factors at the skeleton points	bf1skel
Compute the Bayes factors at new points	bf2new
Empirical Bayes estimator	bf2optim
Empirical Bayes standard errors	bf2se
Batch means, Bayes factors standard errors	bmbfse
The 'geoBayes' package	geoBayes-package geoBayes
Spatial correlation used in the geoBayes package	.geoBayes_corrfcn geoBayes_correlation
Models used in the geoBayes package	.geoBayes_models geoBayes_models
Calculate the link function for exponential families	linkfcn linkinv
Convert to an 'mcmc' object	mcmcmake
MCMC samples from the Spatial GLMM	mcsglmm
MCMC samples from the Spatial GLMM	mcsglmm_mala
MCMC samples from the transformed Gaussian model	mcstrga
MCMC samples from the transformed Gaussian model	mcstrga_mala
Make prediction grid	mkpredgrid2d
Plot the estimated Bayes factors	plotbf2
Reverse logistic regression estimation	revlogreg
Rhizoctonia root rot infections	rhizoctonia
Simulation from a spatial model	rsglmm rsgrf rstrga
Selection of multiple importance sampling distributions	select_proposals select_proposals_ENT select_proposals_MNX select_proposals_SEQ
Spatial variance-covariance matrix	spcovariance spcovariance.dist spcovariance.formula spcovariance.numeric
Spatial log likelihood	sploglik
Spatial log likelihood	sploglik_cross
Combine 'data.frame's	stackdata
Subset MCMC chain	subset.geomcmc

Package: geoBayes 0.7.8

geoBayes: Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)