Package: OBASpatial 1.9

OBASpatial: Objective Bayesian Analysis for Spatial Regression Models

It makes an objective Bayesian analysis of the spatial regression model using both the normal (NSR) and student-T (TSR) distributions. The functions provided give prior and posterior objective densities and allow default Bayesian estimation of the model regression parameters. Details can be found in Ordonez et al. (2020) <arxiv:2004.04341>.

Authors:Alejandro Ordonez, Marcos O. Prates , Larissa A. Matos, Victor H. Lachos.

OBASpatial_1.9.tar.gz
OBASpatial_1.9.zip(r-4.7-any)OBASpatial_1.9.zip(r-4.6-any)OBASpatial_1.9.zip(r-4.5-any)
OBASpatial_1.9.tgz(r-4.6-any)OBASpatial_1.9.tgz(r-4.5-any)
OBASpatial_1.9.tar.gz(r-4.7-any)OBASpatial_1.9.tar.gz(r-4.6-any)
OBASpatial_1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
OBASpatial/json (API)

# Install 'OBASpatial' in R:
install.packages('OBASpatial', repos = c('https://joalor93.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

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

1.00 score 284 downloads 10 exports 22 dependencies

Last updated from:377a550dc7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK185
linux-release-x86_64OK130
macos-release-arm64OK131
macos-oldrel-arm64OK132
windows-develOK86
windows-releaseOK85
windows-oldrelOK83
wasm-releaseOK139

Exports:dnsrposobadnsrpriorobadtsrposobadtsrpriorobaintmnormintmTnsrobansrobapred1tsrobatsrobapred

Dependencies:clueclustercubatureevdfBasicsgssHDIntervalinvgammaLaplacesDemonMASSmodeestmvtnormRcpprmutilrpartspatialstablestablediststatiptimeDatetimeSeriestruncdist