Showing 9 of total 9 results (show query)
cran
Anthropometry:Statistical Methods for Anthropometric Data
Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis. Please see Vinue (2017) <doi:10.18637/jss.v077.i06>.
Maintained by Guillermo Vinue. Last updated 2 years ago.
53.6 match 1 stars 2.78 score 2 dependents
nutriverse
zscorer:Child Anthropometry z-Score Calculator
A tool for calculating z-scores and centiles for weight-for-age, length/height-for-age, weight-for-length/height, BMI-for-age, head circumference-for-age, age circumference-for-age, subscapular skinfold-for-age, triceps skinfold-for-age based on the WHO Child Growth Standards.
Maintained by Ernest Guevarra. Last updated 4 years ago.
anthropometric-indicesanthropometrygrowth-chartsgrowth-standardsheight-for-agenutritionweight-for-ageweight-for-heightz-score
13.0 match 14 stars 7.30 score 47 scripts 1 dependentsnutriverse
nipnTK:National Information Platforms for Nutrition Anthropometric Data Toolkit
An implementation of the National Information Platforms for Nutrition or NiPN's analytic methods for assessing quality of anthropometric datasets that include measurements of weight, height or length, middle upper arm circumference, sex and age. The focus is on anthropometric status but many of the presented methods could be applied to other variables.
Maintained by Ernest Guevarra. Last updated 5 months ago.
anthropometrydata-qualitynipnnutrition
10.0 match 5 stars 5.92 score 28 scripts 1 dependents
stefvanbuuren
AGD:Analysis of Growth Data
Tools for the analysis of growth data: to extract an LMS table from a gamlss object, to calculate the standard deviation scores and its inverse, and to superpose two wormplots from different models. The package contains a some varieties of reference tables, especially for The Netherlands.
Maintained by Stef van Buuren. Last updated 11 months ago.
anthropometrycdcdutchgrowthgrowth-chartslmswhoz-score
10.0 match 1 stars 4.38 score 48 scripts
ropensci
gigs:Assess Fetal, Newborn, and Child Growth with International Standards
Convert between anthropometric measures and z-scores/centiles in multiple growth standards, and classify fetal, newborn, and child growth accordingly. With a simple interface to growth standards from the World Health Organisation and International Fetal and Newborn Growth Consortium for the 21st Century, gigs makes growth assessment easy and reproducible for clinicians, researchers and policy-makers.
Maintained by Simon R Parker. Last updated 25 days ago.
anthropometrygrowth-standardsintergrowthwho
10.0 match 4 stars 4.38 score 8 scriptsnutriverse
anthrocheckr:Anthropometric Measurement Standardisation Tests
Ensuring the precision and accuracy of measurements is critical when collecting anthropometric data. Anthropometrists are usually tested for precision and accuracy of measurement through standardisation tests performed prior to anthropometric data collection. This package provides functions to calculate inter- and intra-observer technical error of measurement (TEM) to assess precision of measurements.
Maintained by Ernest Guevarra. Last updated 3 months ago.
10.0 match 4 stars 4.26 score 5 scriptsnutriverse
mwana:An Efficient Workflow for Plausibility Checks and Prevalence Analysis of Wasting in R
A simple and streamlined workflow for plausibility checks and prevalence analysis of wasting based on the Standardized Monitoring and Assessment of Relief and Transition (SMART) Methodology <https://smartmethodology.org/>, with application in R.
Maintained by Tomás Zaba. Last updated 1 months ago.
acute-malnutritionanthropometrymuacnutritionsmartsurveywasting
10.0 match 2 stars 4.23 score 6 scripts
rapidsurveys
bbw:Blocked Weighted Bootstrap
The blocked weighted bootstrap (BBW) is an estimation technique for use with data from two-stage cluster sampled surveys in which either prior weighting (e.g. population-proportional sampling or PPS as used in Standardized Monitoring and Assessment of Relief and Transitions or SMART surveys) or posterior weighting (e.g. as used in rapid assessment method or RAM and simple spatial sampling method or S3M surveys) is implemented. See Cameron et al (2008) <doi:10.1162/rest.90.3.414> for application of bootstrap to cluster samples. See Aaron et al (2016) <doi:10.1371/journal.pone.0163176> and Aaron et al (2016) <doi:10.1371/journal.pone.0162462> for application of the blocked weighted bootstrap to estimate indicators from two-stage cluster sampled surveys.
Maintained by Ernest Guevarra. Last updated 2 months ago.
bootstrapping-statisticsramsurveys
3.5 match 3 stars 5.91 score 9 scripts 2 dependents
remkoduursma
lgrdata:Example Datasets for a Learning Guide to R
A largish collection of example datasets, including several classics. Many of these datasets are well suited for regression, classification, and visualization.
Maintained by Remko Duursma. Last updated 6 years ago.
4.5 match 3.11 score 26 scripts