Harvest metadata using the Open Archives Initiative Protocol for Metadata
Harvesting (OAI-PMH) version 2.0 (for more information, see
<https://www.openarchives.org/OAI/openarchivesprotocol.html>).

Objective Bayesian Analysis for Spatial Regression Models
Alejandro Ordonez,  Marcos O. Prates , Larissa A. Matos, Victor H. Lachos.
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>.

Calculate the Open Bodem Index (OBI) Score
c(
person("Sven", "Verweij", email = "sven.verweij@nmi-agro.nl", role = c("aut","cre")),
person("Gerard", "Ros", email = "gerard.ros@nmi-agro.nl", role = "aut"),
person("Yuki", "Fujita", email = "yuki.fujita@nmi-agro.nl", role = "aut"),
person("Brent", "Riechelman", email = 'brent.riechelman@nmi-agro.nl', role = "aut"),
person("Job", "de Pater", email = "job.depater@nmi-agro.nl", role = "ctb"),
person("Nutriënten Managment Instituut", email = "nmi@nmi-agro.nl", role = "cph"))
The Open Bodem Index (OBI) is a method to evaluate the quality of soils of agricultural fields in The Netherlands and the sustainability of the current agricultural practices.
The OBI score is based on four main criteria: chemical, physical, biological and management, which consist of more than 21 indicators.
By providing results of a soil analysis and management info the 'OBIC' package can be use to calculate he scores, indicators and derivatives that are used by the OBI.
More information about the Open Bodem Index can be found at <https://www.openbodemindex.nl/>.
testthat (>= 2.1.0), knitr, rmarkdown, ggplot2, patchwork,
covr
Sven Verweij [aut, cre],
Gerard Ros [aut],
Yuki Fujita [aut],
Brent Riechelman [aut],
Job de Pater [ctb],
Nutriënten Managment Instituut [cph]

c(
person("Daniel", "James", email = "futathesis@gmail.com", role = c("cre","aut")),
person("Ayinde", "Kayode", email = "kayinde@futa.edu.ng", role = "aut"))
Obtain optimum block from Non-overlapping Block Bootstrap method.
forecast, foreach, doParallel, parallel, future, utils, stats,
tibble
Daniel James [cre, aut],
Ayinde Kayode [aut]