Package: ipctools 0.0.0.9000
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:
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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')) |
Bug tracker:https://github.com/nutriverse/ipctools/issues
- muac_data - Nutrition survey data with MUAC and oedema measurements and location information anonymised.
anthropometryipc-classificationnutrition
Last updated 6 months agofrom:0553afc70d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 04 2024 |
R-4.5-win | OK | Sep 04 2024 |
R-4.5-linux | OK | Sep 04 2024 |
R-4.4-win | OK | Sep 04 2024 |
R-4.4-mac | OK | Sep 04 2024 |
R-4.3-win | OK | Sep 04 2024 |
R-4.3-mac | OK | Sep 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 page | Topics |
---|---|
Calculate wasting prevalence by MUAC | calculate_unweighted_prevalence calculate_weighted_prevalence ipc_calculate_prevalence |
Check missing anthropometry data | check_missing_data |
Classification functions that support the main functions for working with MUAC datasets | classify_acute_malnutrition classify_age_ratio classify_quality classify_sd classify_sex_ratio |
Perform MUAC check based on IPC and CDC recommendations | ipc_muac_check summarise_muac_check |
Nutrition survey data with MUAC and oedema measurements and location information anonymised. | muac_data |
Process MUAC data | process_muac_data |