Package: geoBayes 0.7.4

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_0.7.4.tar.gz
geoBayes_0.7.4.tar.gz(r-4.5-noble)geoBayes_0.7.4.tar.gz(r-4.4-noble)
geoBayes_0.7.4.tgz(r-4.4-emscripten)
geoBayes.pdf |geoBayes.html
geoBayes/json (API)
NEWS

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:

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

fortranopenblas

1.34 score 22 scripts 409 downloads 31 exports 7 dependencies

Last updated 2 months agofrom:a349a7116c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-linux-x86_64OKDec 07 2024

Exports:.geoBayes_corrfcn.geoBayes_modelsalik_cutoffalik_inlaalik_optimalik_plotbf1skelbf2newbf2optimbf2sebmbfselinkfcnlinkinvmcmcmakemcsglmmmcsglmm_malamcstrgamcstrga_malamkpredgrid2dplotbf2revlogregrsglmmrsgrfrstrgaselect_proposals_ENTselect_proposals_MNXselect_proposals_SEQspcovariancesplogliksploglik_crossstackdata

Dependencies:codalatticenloptrnumDerivoptimxpracmasp