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-any)geosample_0.2.1.zip(r-4.6-any)geosample_0.2.1.zip(r-4.5-any)
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 6 downloads 4 exports 15 dependencies

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

TargetResultTimeFilesSyslog
linux-develERROR133
source / vignettesERROR217
linux-releaseERROR142
macos-releaseERROR85
macos-oldrelERROR112
windows-develERROR79
windows-releaseERROR71
windows-oldrelERROR111
wasm-releaseOK129

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

Dependencies:classclassIntDBIe1071KernSmoothlatticepdistproxyRcpps2sfspsplancsunitswk