Package: ipctools 0.0.0.9000

Ernest Guevarra

ipctools: Utilities to Support Integrated Food Security Phase Classification (IPC) Data Analysis and Visualisation

The Integrated Food Security Phase Classification (IPC) is a widely used tool for classifying and analysing the severity and magnitude of food insecurity and malnutrition situations in various countries and regions around the world. It provides a common understanding of the food security situation and enables decision-makers to take appropriate actions to mitigate and respond to food crises. This package provides functions and utilities that support IPC-related data analysis and visualisation.

Authors:Tomas Zaba [aut, cph], Ernest Guevarra [aut, cre, cph]

ipctools_0.0.0.9000.tar.gz
ipctools_0.0.0.9000.zip(r-4.5)ipctools_0.0.0.9000.zip(r-4.4)ipctools_0.0.0.9000.zip(r-4.3)
ipctools_0.0.0.9000.tgz(r-4.4-any)ipctools_0.0.0.9000.tgz(r-4.3-any)
ipctools_0.0.0.9000.tar.gz(r-4.5-noble)ipctools_0.0.0.9000.tar.gz(r-4.4-noble)
ipctools_0.0.0.9000.tgz(r-4.4-emscripten)ipctools_0.0.0.9000.tgz(r-4.3-emscripten)
ipctools.pdf |ipctools.html
ipctools/json (API)

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

Peer review:

Bug tracker:https://github.com/nutriverse/ipctools/issues

Datasets:
  • muac_data - Nutrition survey data with MUAC and oedema measurements and location information anonymised.

On CRAN:

anthropometryipc-classificationnutrition

12 exports 2 stars 0.49 score 17 dependencies 2 scripts

Last updated 6 months agofrom:0553afc70d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 2024

Exports:calculate_unweighted_prevalencecalculate_weighted_prevalencecheck_missing_dataclassify_acute_malnutritionclassify_age_ratioclassify_qualityclassify_sdclassify_sex_ratioipc_calculate_prevalenceipc_muac_checkprocess_muac_datasummarise_muac_check

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrnipnTKpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Readme and manuals

Help Manual

Help pageTopics
Calculate wasting prevalence by MUACcalculate_unweighted_prevalence calculate_weighted_prevalence ipc_calculate_prevalence
Check missing anthropometry datacheck_missing_data
Classification functions that support the main functions for working with MUAC datasetsclassify_acute_malnutrition classify_age_ratio classify_quality classify_sd classify_sex_ratio
Perform MUAC check based on IPC and CDC recommendationsipc_muac_check summarise_muac_check
Nutrition survey data with MUAC and oedema measurements and location information anonymised.muac_data
Process MUAC dataprocess_muac_data