R-universe search: dhs

Showing 22 of total 22 results (show query)

ropensci

rdhs:API Client and Dataset Management for the Demographic and Health Survey (DHS) Data

Provides a client for (1) querying the DHS API for survey indicators and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys and datasets for analysis, (3) downloading survey datasets from the DHS website, (4) loading datasets and associate metadata into R, and (5) extracting variables and combining datasets for pooled analysis.

Maintained by OJ Watson. Last updated 16 days ago.

dataset dhs dhs-api extract peer-reviewed survey-data

76.1 match 35 stars 10.07 score 286 scripts 3 dependents

mahmoudelkasabi

DHS.rates:Calculates Demographic Indicators

Calculates key indicators such as fertility rates (Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR)) using Demographic and Health Survey (DHS) women/individual data, childhood mortality probabilities and rates such as Neonatal Mortality Rate (NNMR), Post-neonatal Mortality Rate (PNNMR), Infant Mortality Rate (IMR), Child Mortality Rate (CMR), and Under-five Mortality Rate (U5MR), and adult mortality indicators such as the Age Specific Mortality Rate (ASMR), Age Adjusted Mortality Rate (AAMR), Age Specific Maternal Mortality Rate (ASMMR), Age Adjusted Maternal Mortality Rate (AAMMR), Age Specific Pregnancy Related Mortality Rate (ASPRMR), Age Adjusted Pregnancy Related Mortality Rate (AAPRMR), Maternal Mortality Ratio (MMR) and Pregnancy Related Mortality Ratio (PRMR). In addition to the indicators, the 'DHS.rates' package estimates sampling errors indicators such as Standard Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and Confidence Interval (CI). The package is developed according to the DHS methodology of calculating the fertility indicators and the childhood mortality rates outlined in the "Guide to DHS Statistics" (Croft, Trevor N., Aileen M. J. Marshall, Courtney K. Allen, et al. 2018, <https://dhsprogram.com/Data/Guide-to-DHS-Statistics/index.cfm>) and the DHS methodology of estimating the sampling errors indicators outlined in the "DHS Sampling and Household Listing Manual" (ICF International 2012, <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).

Maintained by Mahmoud Elkasabi. Last updated 1 years ago.

53.3 match 2 stars 2.48 score 15 scripts

richardli

SUMMER:Small-Area-Estimation Unit/Area Models and Methods for Estimation in R

Provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>, Li et al. (2019) <doi:10.1371/journal.pone.0210645>, Wu et al. (DHS Spatial Analysis Reports No. 21, 2021), and Li et al. (2023) <doi:10.48550/arXiv.2007.05117>.

Maintained by Zehang R Li. Last updated 2 months ago.

bayesian-inference small-area-estimation space-time

10.3 match 23 stars 10.28 score 134 scripts 2 dependents

larmarange

prevR:Estimating Regional Trends of a Prevalence from a DHS and Similar Surveys

Spatial estimation of a prevalence surface or a relative risks surface, using data from a Demographic and Health Survey (DHS) or an analog survey, see Larmarange et al. (2011) <doi:10.4000/cybergeo.24606>.

Maintained by Joseph Larmarange. Last updated 5 months ago.

16.6 match 5 stars 6.26 score 46 scripts

hannahcomiskey

mcmsupply:Estimating Public and Private Sector Contraceptive Market Supply Shares

Family Planning programs and initiatives typically use nationally representative surveys to estimate key indicators of a country’s family planning progress. However, in recent years, routinely collected family planning services data (Service Statistics) have been used as a supplementary data source to bridge gaps in the surveys. The use of service statistics comes with the caveat that adjustments need to be made for missing private sector contributions to the contraceptive method supply chain. Evaluating the supply source of modern contraceptives often relies on Demographic Health Surveys (DHS), where many countries do not have recent data beyond 2015/16. Fortunately, in the absence of recent surveys we can rely on statistical model-based estimates and projections to fill the knowledge gap. We present a Bayesian, hierarchical, penalized-spline model with multivariate-normal spline coefficients, to account for across method correlations, to produce country-specific,annual estimates for the proportion of modern contraceptive methods coming from the public and private sectors. This package provides a quick and convenient way for users to access the DHS modern contraceptive supply share data at national and subnational administration levels, estimate, evaluate and plot annual estimates with uncertainty for a sample of low- and middle-income countries. Methods for the estimation of method supply shares at the national level are described in Comiskey, Alkema, Cahill (2022) <arXiv:2212.03844>.

Maintained by Hannah Comiskey. Last updated 12 months ago.

jags cpp

20.0 match 2 stars 5.15 score 20 scripts

richardli

surveyPrev:Mapping the Prevalence of Binary Indicators using Survey Data in Small Areas

Provides a pipeline to perform small area estimation and prevalence mapping of binary indicators using health and demographic survey data, described in Fuglstad et al. (2022) <doi:10.48550/arXiv.2110.09576> and Wakefield et al. (2020) <doi:10.1111/insr.12400>.

Maintained by Qianyu Dong. Last updated 4 days ago.

13.8 match 1 stars 5.76 score 11 scripts

boost-r

gamboostLSS:Boosting Methods for 'GAMLSS'

Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.

Maintained by Benjamin Hofner. Last updated 19 days ago.

boosting-algorithms gamboostlss gamlss machine-learning r-language variable-selection

5.3 match 26 stars 8.52 score 163 scripts 1 dependents

laplacesdemonr

LaplacesDemon:Complete Environment for Bayesian Inference

Provides a complete environment for Bayesian inference using a variety of different samplers (see ?LaplacesDemon for an overview).

Maintained by Henrik Singmann. Last updated 12 months ago.

3.3 match 93 stars 13.45 score 1.8k scripts 60 dependents

zpneal

childfree:Access and Harmonize Childfree Demographic Data

Reads demographic data from a variety of public data sources, extracting and harmonizing variables useful for the study of childfree individuals. The identification of childfree individuals and those with other family statuses uses Neal & Neal's (2024) "A Framework for Studying Adults who Neither have Nor Want Children" <doi:10.1177/10664807231198869>; A pre-print is available at <doi:10.31234/osf.io/fa89m>.

Maintained by Zachary Neal. Last updated 6 months ago.

7.5 match 4.85 score 1 scripts

girelaignacio

mpitbR:Calculate Alkire-Foster Multidimensional Poverty Measures

Estimate Multidimensional Poverty Indices disaggregated by population subgroups based on the Alkire and Foster method (2011) <doi:10.1016/j.jpubeco.2010.11.006>. This includes the calculation of standard errors and confidence intervals. Other partial indices such as incidence, intensity and indicator-specific measures as well as intertemporal changes analysis can also be estimated. The standard errors and confidence intervals are calculated considering the complex survey design.

Maintained by Ignacio Girela. Last updated 1 months ago.

7.1 match 4.85 score 1 scripts

mrc-ide

demogsurv:Demographic analysis of DHS and other household surveys

This package includes tools for calculating demographic indicators from household survey data. Initially developed for for processing and analysis from Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS). The package provides tools to calculate standard child mortality, adult mortality, and fertility indicators stratified arbitrarily by age group, calendar period, pre-survey time periods, birth cohorts and other survey variables (e.g. residence, region, wealth status, education, etc.). Design-based standard errors and sample correlations are available for all indicators via Taylor linearisation or jackknife.

Maintained by Jeff Eaton. Last updated 3 years ago.

10.7 match 6 stars 2.92 score 28 scripts

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-indices anthropometry growth-charts growth-standards height-for-age nutrition weight-for-age weight-for-height z-score

3.3 match 14 stars 7.30 score 47 scripts 1 dependents

mrc-ide

naomi.utils:Utility Functions For Naomi Datasets

This package contains utility functions for creating and manipulating datasets for the Naomi model and related projects.

Maintained by Jeffrey Eaton. Last updated 12 months ago.

12.2 match 1 stars 1.64 score 11 scripts

malaria-atlas-project

malariaAtlas:An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project'

A suite of tools to allow you to download all publicly available parasite rate survey points, mosquito occurrence points and raster surfaces from the 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as utility functions for plotting the downloaded data.

Maintained by Mauricio van den Berg. Last updated 8 months ago.

database malaria opendata raster

1.8 match 44 stars 9.10 score 118 scripts 3 dependents

truenomad

AgePopDenom:Model Fine-Scale Age-Structured Population Data using Open-Source Data

Automate the modelling of age-structured population data using survey data, grid population estimates and urban-rural extents.

Maintained by Mohamed A. Yusuf. Last updated 18 days ago.

3.5 match 1 stars 4.60 score 3 scripts

shivaway

IAPWS95:Thermophysical Properties of Water and Steam

Functions for Water and Steam Properties based on the International Association for the Properties of Water (IAPWS) Formulation 1995 for the Thermodynamic Properties of Ordinary Water Substance for General and Scientific Use and on the releases for viscosity, conductivity, surface tension and melting pressure.

Maintained by Shawn Way. Last updated 2 years ago.

fortran glibc

3.3 match 4.76 score 116 scripts

bioc

TFEA.ChIP:Analyze Transcription Factor Enrichment

Package to analize transcription factor enrichment in a gene set using data from ChIP-Seq experiments.

Maintained by Laura Puente Santamaría. Last updated 5 months ago.

transcription generegulation genesetenrichment transcriptomics sequencing chipseq rnaseq immunooncology

4.5 match 3.45 score 14 scripts

bioc

nullranges:Generation of null ranges via bootstrapping or covariate matching

Modular package for generation of sets of ranges representing the null hypothesis. These can take the form of bootstrap samples of ranges (using the block bootstrap framework of Bickel et al 2010), or sets of control ranges that are matched across one or more covariates. nullranges is designed to be inter-operable with other packages for analysis of genomic overlap enrichment, including the plyranges Bioconductor package.

Maintained by Michael Love. Last updated 5 months ago.

visualization genesetenrichment functionalgenomics epigenetics generegulation genetarget genomeannotation annotation genomewideassociation histonemodification chipseq atacseq dnaseseq rnaseq hiddenmarkovmodel bioconductor bootstrap genomics matching statistics

1.3 match 27 stars 8.16 score 50 scripts 1 dependents

nutriverse

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.

anthropometry data-quality nipn nutrition

1.6 match 5 stars 5.92 score 28 scripts 1 dependents

lcrawlab

smer:Sparse Marginal Epistasis Test

The Sparse Marginal Epistasis Test is a computationally efficient genetics method which detects statistical epistasis in complex traits; see Stamp et al. (2025, <doi:10.1101/2025.01.11.632557>) for details.

Maintained by Julian Stamp. Last updated 2 months ago.

genomewideassociation epistasis genetics snp linearmixedmodel cpp epistasis-analysis epistatis gwas gwas-tools mapit zlib cpp openmp

1.1 match 1 stars 4.95 score 8 scripts