R Observatory: Metrics for gridsample version 0.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2020-06-15. Its history is shown below.

Reason: check problems were not corrected in time

Details below reflect version 0.2.1, its last release before removal.

gridsample

0.2.1

Tools for Grid-Based Survey Sampling Design

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Nick Ruktanonchai4 releasesCRAN page ↗

Multi-stage cluster surveys of households are commonly performed by governments and programmes to monitor population-level demographic, social, economic, and health outcomes. Generally, communities are sampled from subpopulations (strata) in a first stage, and then households are listed and sampled in a second stage. In this typical two-stage design, sampled communities are the Primary Sampling Units (PSUs) and households are the Secondary Sampling Units (SSUs). Census data typically serve as the sample frame from which PSUs are selected. However, if census data are outdated inaccurate, or too geographically course, gridded population data (such as http://www.worldpop.org.uk) can be used as a sample frame instead. GridSample (doi:10.1186/s12942-017-0098-4) generates PSUs from gridded population data according to user-specified complex survey design characteristics and household sample size. In gridded population sampling, like census sampling, PSUs are selected within each stratum using a serpentine sampling method, and can be oversampled in urban or rural areas to ensure a minimum sample size in each of these important sub-domains. Furthermore, because grid cells are uniform in size and shape, gridded population sampling allows for samples to be representative of both the population and of space, which is not possible with a census sample frame.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/gridsample/gridsample_0.2.1.tar.gz"
pkgFile <- "gridsample_0.2.1.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.2.1) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

10

Dependencies · direct

Documentation

READMEYes · 20 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

gridsample Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on68 c2d4u

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.2.3

Imports (10)

rgdal raster data.table rgeos geosphere sp spatstatmethodsmaptools spatstat.utils

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (6)

Maintainer (1)

Nick Ruktanonchai

Maintainer · added in 0.2.1

Authors (4)

Dana R. Thomson

Author · added in 0.2.1

Forrest R. Stevens

Author · added in 0.2.1

Marcia Castro

Author · added in 0.2.1

Andrew J. Tatem

Author · added in 0.2.1

Contributors (1)

Guilherme A. Zagatti

Contributor · added in 0.2.1

Listed in earlier versions (5)

Forrest R. Stevens (University of Louisville)