Showing 36 of total 36 results (show query)
katilingban
ppitables:Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)
The Poverty Probability Index (PPI) is a poverty measurement tool for organizations and businesses with a mission to serve the poor. The PPI is statistically-sound, yet simple to use: the answers to 10 questions about a household's characteristics and asset ownership are scored to compute the likelihood that the household is living below the poverty line - or above by only a narrow margin. This package contains country-specific lookup data tables used as reference to determine the poverty likelihood of a household based on their score from the country-specific PPI questionnaire. These lookup tables have been extracted from documentation of the PPI found at <https://www.povertyindex.org> and managed by Innovations for Poverty Action <https://poverty-action.org/>.
Maintained by Ernest Guevarra. Last updated 4 days ago.
datapovertypoverty-likelihoodspoverty-probabilityppi
468.1 match 6 stars 6.43 score 89 scripts
aalfons
laeken:Estimation of Indicators on Social Exclusion and Poverty
Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions.
Maintained by Andreas Alfons. Last updated 1 years ago.
21.8 match 3 stars 9.57 score 300 scripts 30 dependents
airdede
FuzzyPovertyR:Estimation of Fuzzy Poverty Measures
Estimates fuzzy measures of poverty and deprivation. It also estimates the sampling variance of these measures using bootstrap or jackknife repeated replications.
Maintained by Federico Crescenzi. Last updated 5 months ago.
26.6 match 3.85 score 2 scripts
ajdamico
convey:Income Concentration Analysis with Complex Survey Samples
Variance estimation on indicators of income concentration and poverty using complex sample survey designs. Wrapper around the 'survey' package.
Maintained by Anthony Damico. Last updated 5 months ago.
14.2 match 19 stars 6.09 score 201 scripts
pdil
usmap:US Maps Including Alaska and Hawaii
Obtain United States map data frames of varying region types (e.g. county, state). The map data frames include Alaska and Hawaii conveniently placed to the bottom left, as they appear in most maps of the US. Convenience functions for plotting choropleths, visualizing spatial data, and working with FIPS codes are also provided.
Maintained by Paolo Di Lorenzo. Last updated 3 months ago.
countiesdatafipsgeodatamappingstatesusa
7.0 match 75 stars 11.22 score 1.7k scripts 2 dependents
m-muecke
worldbank:Client for World Banks's 'Indicators' and 'Poverty and Inequality Platform (PIP)' APIs
Download and search data from the 'World Bank Indicators API', which provides access to nearly 16,000 time series indicators. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation> for further details about the API.
Maintained by Maximilian Mücke. Last updated 8 days ago.
apiindicatorspovertyworldbankworldbank-api
14.6 match 5 stars 4.86 score 6 scripts
alanarnholt
BSDA:Basic Statistics and Data Analysis
Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.
Maintained by Alan T. Arnholt. Last updated 2 years ago.
6.8 match 7 stars 9.11 score 1.3k scripts 6 dependents
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.
11.9 match 4.85 score 1 scripts
ipeagit
accessibility:Transport Accessibility Measures
A set of fast and convenient functions to help conducting accessibility analyses. Given a pre-computed travel cost matrix and a land use dataset (containing the location of jobs, healthcare and population, for example), the package allows one to calculate accessibility levels and accessibility poverty and inequality. The package covers the majority of the most commonly used accessibility measures (such as cumulative opportunities, gravity-based and floating catchment areas methods), as well as the most frequently used inequality and poverty metrics (such as the Palma ratio, the concentration and Theil indices and the FGT family of measures).
Maintained by Daniel Herszenhut. Last updated 2 months ago.
accessibilitytransporttransport-accessibility
6.8 match 55 stars 7.82 score 88 scripts
calcita
ech:Downloading and Processing Microdata from ECH-INE (Uruguay)
A consistent tool for downloading ECH data, processing them and generating new indicators: poverty, education, employment, etc. All data are downloaded from the official site of the National Institute of Statistics at <https://www.gub.uy/instituto-nacional-estadistica/datos-y-estadisticas/encuestas/encuesta-continua-hogares>.
Maintained by Gabriela Mathieu. Last updated 1 years ago.
5.3 match 16 stars 6.15 score 22 scripts
angelberihuete
rtip:Inequality, Welfare and Poverty Indices and Curves using the EU-SILC Data
R tools to measure and compare inequality, welfare and poverty using the EU statistics on income and living conditions surveys.
Maintained by Angel Berihuete. Last updated 6 years ago.
9.1 match 2 stars 3.38 score 24 scripts
jacob-long
panelr:Regression Models and Utilities for Repeated Measures and Panel Data
Provides an object type and associated tools for storing and wrangling panel data. Implements several methods for creating regression models that take advantage of the unique aspects of panel data. Among other capabilities, automates the "within-between" (also known as "between-within" and "hybrid") panel regression specification that combines the desirable aspects of both fixed effects and random effects econometric models and fits them as multilevel models (Allison, 2009 <doi:10.4135/9781412993869.d33>; Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be estimated via generalized estimating equations (GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian estimation is (optionally) supported via 'Stan'. Supports estimation of asymmetric effects models via first differences (Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized linear model extension thereof using GEE.
Maintained by Jacob A. Long. Last updated 1 years ago.
3.4 match 101 stars 8.76 score 181 scripts 1 dependents
nickch-k
causaldata:Example Data Sets for Causal Inference Textbooks
Example data sets to run the example problems from causal inference textbooks. Currently, contains data sets for Huntington-Klein, Nick (2021) "The Effect" <https://theeffectbook.net>, first and second edition, Cunningham, Scott (2021, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape", and Hernán, Miguel and James Robins (2020) "Causal Inference: What If" <https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.
Maintained by Nick Huntington-Klein. Last updated 4 months ago.
3.4 match 136 stars 7.43 score 144 scripts 1 dependents
yng-me
mpindex:Multidimensional Poverty Index (MPI)
A set of easy-to-use functions for computing the Multidimensional Poverty Index (MPI).
Maintained by Bhas Abdulsamad. Last updated 1 years ago.
5.5 match 4 stars 4.30 score 6 scripts
usepa
micromap:Linked Micromap Plots
This group of functions simplifies the creation of linked micromap plots. Please see <https://www.jstatsoft.org/v63/i02/> for additional details.
Maintained by Marcus W. Beck. Last updated 5 months ago.
3.6 match 10 stars 6.20 score 53 scripts
faiarte
MPI:Computation of Multidimensional Poverty Index (MPI)
Computing package for Multidimensional Poverty Index (MPI) using Alkire-Foster method. Given N individuals, each person has D indicators of deprivation, the package compute MPI value to represent the degree of poverty in a population. The inputs are 1) an N by D matrix, which has the element (i,j) represents whether an individual i is deprived in an indicator j (1 is deprived and 0 is not deprived), and 2) the deprivation threshold. The main output is the MPI value, which has the range between zero and one. MPI value is approaching one if almost all people are deprived in all indicators, and it is approaching zero if almost no people are deprived in any indicator. Please see Alkire S., Chatterjee, M., Conconi, A., Seth, S. and Ana Vaz (2014) <doi:10.35648/20.500.12413/11781/ii039> for The Alkire-Foster methodology.
Maintained by Kittiya Kukiattikun. Last updated 3 years ago.
7.5 match 2.81 score 13 scripts
cran
tipsae:Tools for Handling Indices and Proportions in Small Area Estimation
It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process. For further details, refer to De Nicolò and Gardini (2024 <doi:10.18637/jss.v108.i01>).
Maintained by Silvia De Nicolò. Last updated 6 months ago.
6.9 match 2.90 score
jobnmadu
Dyn4cast:Dynamic Modeling and Machine Learning Environment
Estimates, predict and forecast dynamic models as well as Machine Learning metrics which assists in model selection for further analysis. The package also have capabilities to provide tools and metrics that are useful in machine learning and modeling. For example, there is quick summary, percent sign, Mallow's Cp tools and others. The ecosystem of this package is analysis of economic data for national development. The package is so far stable and has high reliability and efficiency as well as time-saving.
Maintained by Job Nmadu. Last updated 17 hours ago.
data-scienceequal-lenght-forecastforecastingknotsmachine-learningnigeriapredictionregression-modelsspline-modelsstatisticstime-series
3.6 match 4 stars 5.03 score 38 scripts
kjhealy
gssrdoc:Document General Social Survey Variable
The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.
Maintained by Kieran Healy. Last updated 11 months ago.
7.5 match 2.28 score 38 scripts
marchionnilab
covid19census:Extracts Covid-19 and other demographic metrics regarding U.S.A and Italy
Package with functions to scrape data regarding COVID-19 epidemic in U.S.A and Italy, as well as datasets with related indexes.
Maintained by claudio_zanettini. Last updated 4 years ago.
6.0 match 2 stars 2.00 score 5 scripts
rbuergin
vcrpart:Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models
Recursive partitioning for varying coefficient generalized linear models and ordinal linear mixed models. Special features are coefficient-wise partitioning, non-varying coefficients and partitioning of time-varying variables in longitudinal regression. A description of a part of this package was published by Burgin and Ritschard (2017) <doi:10.18637/jss.v080.i06>.
Maintained by Reto Burgin. Last updated 5 months ago.
4.5 match 2.62 score 21 scripts
hrbrmstr
epidata:Tools to Retrieve Economic Policy Institute Data Library Extracts
The Economic Policy Institute (<http://www.epi.org/>) provides researchers, media, and the public with easily accessible, up-to-date, and comprehensive historical data on the American labor force. It is compiled from Economic Policy Institute analysis of government data sources. Use it to research wages, inequality, and other economic indicators over time and among demographic groups. Data is usually updated monthly.
Maintained by Bob Rudis. Last updated 5 years ago.
2.0 match 20 stars 5.45 score 28 scripts
alexwhitworth
synthACS:Synthetic Microdata and Spatial MicroSimulation Modeling for ACS Data
Provides access to curated American Community Survey (ACS) base tables via a wrapper to library(acs). Builds synthetic micro-datasets at any user-specified geographic level with ten default attributes; and, conducts spatial microsimulation modeling (SMSM) via simulated annealing. SMSM is conducted in parallel by default. Lastly, we provide functionality for data-extensibility of micro-datasets <doi:10.18637/jss.v104.i07>.
Maintained by Alex Whitworth. Last updated 2 years ago.
acsacs-datamicrosimulationspatial-data-analysiscpp
1.7 match 5 stars 4.29 score 78 scripts
drg-123
IIS:Datasets to Accompany Wolfe and Schneider - Intuitive Introductory Statistics
These datasets and functions accompany Wolfe and Schneider (2017) - Intuitive Introductory Statistics (ISBN: 978-3-319-56070-0) <doi:10.1007/978-3-319-56072-4>. They are used in the examples throughout the text and in the end-of-chapter exercises. The datasets are meant to cover a broad range of topics in order to appeal to the diverse set of interests and backgrounds typically present in an introductory Statistics class.
Maintained by Grant Schneider. Last updated 1 months ago.
3.8 match 1.74 score 55 scripts
ropensci
eph:Argentina's Permanent Household Survey Data and Manipulation Utilities
Tools to download and manipulate the Permanent Household Survey from Argentina (EPH is the Spanish acronym for Permanent Household Survey). e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets, calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology. organize_panels() is used to concatenate observations from different periods, and organize_labels() adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>. As this package works with the argentinian Permanent Household Survey and its main audience is from this country, the documentation was written in Spanish.
Maintained by Carolina Pradier. Last updated 7 months ago.
ephindecmercado-de-trabajorstatses
0.8 match 59 stars 8.38 score 255 scripts
vincentarelbundock
WDI:World Development Indicators and Other World Bank Data
Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.
Maintained by Vincent Arel-Bundock. Last updated 6 months ago.
0.5 match 212 stars 9.88 score 1.4k scripts 4 dependents
hrecht
censusapi:Retrieve Data from the Census APIs
A wrapper for the U.S. Census Bureau APIs that returns data frames of Census data and metadata. Available datasets include the Decennial Census, American Community Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, Population Estimates and Projections, and more.
Maintained by Hannah Recht. Last updated 11 days ago.
censuscensus-apicensus-datademographicsopen-data
0.5 match 174 stars 9.76 score 708 scripts 6 dependents
ssa-statistical-team-projects
povmap:Extension to the 'emdi' Package
The R package 'povmap' supports small area estimation of means and poverty headcount rates. It adds several new features to the 'emdi' package (see "The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07>). These include new options for incorporating survey weights, ex-post benchmarking of estimates, two additional transformations, several new convenient functions to assist with reporting results, and a wrapper function to facilitate access from 'Stata'.
Maintained by Ifeanyi Edochie. Last updated 5 months ago.
0.5 match 1 stars 4.60 score 10 scripts
tidy-intelligence
owidapi:Access the Our World in Data Chart API
Retrieve data from the Our World in Data (OWID) Chart API <https://docs.owid.io/projects/etl/api/>. OWID provides public access to more than 5,000 charts focusing on global problems such as poverty, disease, hunger, climate change, war, existential risks, and inequality.
Maintained by Christoph Scheuch. Last updated 13 days ago.
0.5 match 6 stars 3.78 score
gianmarcoborrata
Indicator:Composite 'Indicator' Construction and Imputation Data
Different functions includes constructing composite indicators, imputing missing data, and evaluating imputation techniques. Additionally, different tools for data normalization. Detailed methodologies of 'Indicator' package are: OECD/European Union/EC-JRC (2008), "Handbook on Constructing Composite Indicators: Methodology and User Guide", OECD Publishing, Paris, <DOI:10.1787/533411815016>, Matteo Mazziotta & Adriano Pareto, (2018) "Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices" <DOI:10.1007/s11205-017-1577-5> and De Muro P., Mazziotta M., Pareto A. (2011), "Composite Indices of Development and Poverty: An Application to MDGs" <DOI:10.1007/s11205-010-9727-z>.
Maintained by Gianmarco Borrata. Last updated 4 months ago.
0.5 match 1 stars 3.00 score 1 scriptscran
EIEntropy:Ecological Inference Applying Entropy
Implements two estimations related to the foundations of info metrics applied to ecological inference. These methodologies assess the lack of disaggregated data and provide an approach to obtaining disaggregated territorial-level data. For more details, see the following references: Fernández-Vázquez, E., Díaz-Dapena, A., Rubiera-Morollón, F. et al. (2020) "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach." <doi:10.1007/s11205-020-02455-z>. Díaz-Dapena, A., Fernández-Vázquez, E., Rubiera-Morollón, F., & Vinuela, A. (2021) "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom." <doi:10.1111/rsp3.12379>.
Maintained by Silvia María Franco Anaya. Last updated 4 months ago.
0.5 match 2.48 score
albertoarcagni
parsec:Partial Orders in Socio-Economics
Implements tools for the analysis of partially ordered data, with a particular focus on the evaluation of multidimensional systems of indicators and on the analysis of poverty. References, Fattore M. (2016) <doi:10.1007/s11205-015-1059-6> Fattore M., Arcagni A. (2016) <doi:10.1007/s11205-016-1501-4> Arcagni A. (2017) <doi:10.1007/978-3-319-45421-4_19>.
Maintained by Alberto Arcagni. Last updated 2 years ago.
0.5 match 1 stars 2.21 score 54 scripts 1 dependents