Package: geosample 0.2.1

Michael G Chipeta

geosample: Construction of Geostatistical Sampling Designs

Functions for constructing sampling designs, including spatially random, inhibitory (simple or with close pairs), both discrete and continuous, and adaptive designs.

Authors:Michael G Chipeta, Peter J Diggle

geosample_0.2.1.tar.gz
geosample_0.2.1.zip(r-4.7)geosample_0.2.1.zip(r-4.6)geosample_0.2.1.zip(r-4.5)
geosample_0.2.1.tgz(r-4.6-any)geosample_0.2.1.tgz(r-4.5-any)
geosample_0.2.1.tar.gz(r-4.7-any)geosample_0.2.1.tar.gz(r-4.6-any)
geosample_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
geosample/json (API)

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

Bug tracker:https://gitlab.com/b-rowlingson/geosample

Datasets:
  • border - Majete study area borders
  • majete - Majete malaria prevalence data
  • sim.data - Simulated binomial data-set over the unit square

On CRAN:

Conda:

1.00 score 1 scripts 4 downloads 4 exports 16 dependencies

Last updated from:19728b9051. Checks:8 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR146
source / vignettesERROR195
linux-release-x86_64ERROR150
macos-release-arm64ERROR92
macos-oldrel-arm64ERROR78
windows-develERROR100
windows-releaseERROR86
windows-oldrelERROR95
wasm-releaseOK119

Exports:adaptive.samplecontin.inhibit.samplediscrete.inhibit.samplerandom.sample

Dependencies:classclassIntDBIe1071KernSmoothlatticeMASSpdistproxyRcpps2sfspsplancsunitswk