Showing 53 of total 53 results (show query)
timcdlucas
disaggregation:Disaggregation Modelling
Fits disaggregation regression models using 'TMB' ('Template Model Builder'). When the response data are aggregated to polygon level but the predictor variables are at a higher resolution, these models can be useful. Regression models with spatial random fields. The package is described in detail in Nandi et al. (2023) <doi:10.18637/jss.v106.i11>.
Maintained by Tim Lucas. Last updated 4 months ago.
81.2 match 2 stars 4.60 score 9 scripts
christophsax
tempdisagg:Methods for Temporal Disaggregation and Interpolation of Time Series
Temporal disaggregation methods are used to disaggregate and interpolate a low frequency time series to a higher frequency series, where either the sum, the mean, the first or the last value of the resulting high frequency series is consistent with the low frequency series. Temporal disaggregation can be performed with or without one or more high frequency indicator series. Contains the methods of Chow-Lin, Santos-Silva-Cardoso, Fernandez, Litterman, Denton and Denton-Cholette, summarized in Sax and Steiner (2013) <doi:10.32614/RJ-2013-028>. Supports most R time series classes.
Maintained by Christoph Sax. Last updated 2 years ago.
23.4 match 40 stars 7.35 score 106 scripts 1 dependents
inseefr
disaggR:Two-Steps Benchmarks for Time Series Disaggregation
The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time series with higher frequency time series, using the French National Accounts methodology. The aggregated sum of the resulting time series is strictly equal to the low-frequency time series within the benchmarking window. Typically, the low-frequency time series is an annual one, unknown for the last year, and the high frequency one is either quarterly or monthly. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8, <https://www.insee.fr/en/information/2579410>).
Maintained by Pauline Meinzel. Last updated 9 months ago.
disaggregationstatistical-packagetime-series
19.1 match 11 stars 6.01 score 31 scripts
rspatial
raster:Geographic Data Analysis and Modeling
Reading, writing, manipulating, analyzing and modeling of spatial data. This package has been superseded by the "terra" package <https://CRAN.R-project.org/package=terra>.
Maintained by Robert J. Hijmans. Last updated 2 months ago.
6.0 match 164 stars 17.05 score 58k scripts 555 dependents
edzer
sp:Classes and Methods for Spatial Data
Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.
Maintained by Edzer Pebesma. Last updated 2 months ago.
4.8 match 127 stars 18.63 score 35k scripts 1.3k dependents
lindsayevanslee
whomds:Calculate Results from WHO Model Disability Survey Data
The Model Disability Survey (MDS) <https://www.who.int/activities/collection-of-data-on-disability> is a World Health Organization (WHO) general population survey instrument to assess the distribution of disability within a country or region, grounded in the International Classification of Functioning, Disability and Health <https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health>. This package provides fit-for-purpose functions for calculating and presenting the results from this survey, as used by the WHO. The package primarily provides functions for implementing Rasch Analysis (see Andrich (2011) <doi:10.1586/erp.11.59>) to calculate a metric scale for disability.
Maintained by Lindsay Lee. Last updated 2 years ago.
9.0 match 4 stars 5.56 score 15 scripts
vinhdizzo
DisImpact:Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups
Implements methods for calculating disproportionate impact: the percentage point gap, proportionality index, and the 80% index. California Community Colleges Chancellor's Office (2017). Percentage Point Gap Method. <https://www.cccco.edu/-/media/CCCCO-Website/About-Us/Divisions/Digital-Innovation-and-Infrastructure/Research/Files/PercentagePointGapMethod2017.ashx>. California Community Colleges Chancellor's Office (2014). Guidelines for Measuring Disproportionate Impact in Equity Plans. <https://www.cccco.edu/-/media/CCCCO-Website/Files/DII/guidelines-for-measuring-disproportionate-impact-in-equity-plans-tfa-ada.pdf>.
Maintained by Vinh Nguyen. Last updated 2 years ago.
8.8 match 2 stars 5.41 score 17 scripts 1 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.
9.5 match 1 stars 4.60 score 10 scripts
rjdverse
rjd3bench:Interface to 'JDemetra+ 3.x' time series analysis software
R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software.
Maintained by Corentin Lemasson. Last updated 8 months ago.
10.6 match 2 stars 3.94 score 11 scripts
hgerritsen
mapplots:Data Visualisation on Maps
Create simple maps; add sub-plots like pie plots to a map or any other plot; format, plot and export gridded data. The package was developed for displaying fisheries data but most functions can be used for more generic data visualisation.
Maintained by Hans Gerritsen. Last updated 2 years ago.
7.3 match 2 stars 4.90 score 442 scripts 3 dependentsrspatial
terra:Spatial Data Analysis
Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Maintained by Robert J. Hijmans. Last updated 4 hours ago.
geospatialrasterspatialvectoronetbbprojgdalgeoscpp
1.8 match 559 stars 17.64 score 17k scripts 851 dependents
gadget-framework
gadget3:Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3
A framework to assist creation of marine ecosystem models, generating either 'R' or 'C++' code which can then be optimised using the 'TMB' package and standard 'R' tools. Principally designed to reproduce gadget2 models in 'TMB', but can be extended beyond gadget2's capabilities. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell (2016) <doi:10.18637/jss.v070.i05> "TMB: Automatic Differentiation and Laplace Approximation.". Begley, J., & Howell, D. (2004) <https://core.ac.uk/download/pdf/225936648.pdf> "An overview of Gadget, the globally applicable area-disaggregated general ecosystem toolbox. ICES.".
Maintained by Jamie Lentin. Last updated 1 months ago.
3.3 match 8 stars 8.66 score 170 scripts
usaid-oha-si
tameDP:Import targets and PLHIV data from COP Target Setting Tool (formerly Data Pack)
Import PSNUxIM targets and PLHIV data from COP Data Pack. The purpose is to make the data tidy and more usable than their current structure in the Excel data packs.
Maintained by Aaron Chafetz. Last updated 1 years ago.
5.7 match 1 stars 4.92 score 46 scripts
cran
DisaggregateTS:High-Dimensional Temporal Disaggregation
Provides tools for temporal disaggregation, including: (1) High-dimensional and low-dimensional series generation for simulation studies; (2) A toolkit for temporal disaggregation and benchmarking using low-dimensional indicator series as proposed by Dagum and Cholette (2006, ISBN:978-0-387-35439-2); (3) Novel techniques by Mosley, Gibberd, and Eckley (2022, <doi:10.1111/rssa.12952>) for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.
Maintained by Kaveh Salehzadeh Nobari. Last updated 5 months ago.
13.5 match 2.00 scoreedzer
spacetime:Classes and Methods for Spatio-Temporal Data
Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc.
Maintained by Edzer Pebesma. Last updated 2 months ago.
1.7 match 74 stars 13.23 score 628 scripts 69 dependents
rmi-pacta
pacta.multi.loanbook:Run 'PACTA' on Multiple Loan Books Easily
Run Paris Agreement Capital Transition Assessment ('PACTA') analyses on multiple loan books in a structured way. Provides access to standard 'PACTA' metrics and additional 'PACTA'-related metrics for multiple loan books. Results take the form of 'csv' files and plots and are exported to user-specified project paths.
Maintained by Jacob Kastl. Last updated 3 days ago.
climate-changepactapactaversesustainable-finance
3.4 match 6.48 score 4 scripts
bioc
SWATH2stats:Transform and Filter SWATH Data for Statistical Packages
This package is intended to transform SWATH data from the OpenSWATH software into a format readable by other statistics packages while performing filtering, annotation and FDR estimation.
Maintained by Peter Blattmann. Last updated 5 months ago.
proteomicsannotationexperimentaldesignpreprocessingmassspectrometryimmunooncology
3.0 match 1 stars 6.30 score 22 scripts
cmmid
paramix:Aggregate and Disaggregate Continuous Parameters for Compartmental Models
A convenient framework for aggregating and disaggregating continuously varying parameters (for example, case fatality ratio, with age) for proper parametrization of lower-resolution compartmental models (for example, with broad age categories) and subsequent upscaling of model outputs to high resolution (for example, as needed when calculating age-sensitive measures like years-life-lost).
Maintained by Carl Pearson. Last updated 3 months ago.
3.4 match 2 stars 5.26 score 3 scripts
mosleyl
TSdisaggregation:High-Dimensional Temporal Disaggregation
First - Generates (potentially high-dimensional) high-frequency and low-frequency series for simulation studies in temporal disaggregation; Second - a toolkit utilizing temporal disaggregation and benchmarking techniques with a low-dimensional matrix of indicator series previously proposed in Dagum and Cholette (2006, ISBN:978-0-387-35439-2) ; and Third - novel techniques proposed by Mosley, Gibberd and Eckley (2021) <arXiv:2108.05783> for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.
Maintained by Luke Mosley. Last updated 3 years ago.
15.8 match 1.00 score
pik-piam
quitte:Bits and pieces of code to use with quitte-style data frames
A collection of functions for easily dealing with quitte-style data frames, doing multi-model comparisons and plots.
Maintained by Michaja Pehl. Last updated 3 days ago.
1.9 match 8.22 score 184 scripts 35 dependents
isabella84
SECFISH:Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the area of fisheries data collection-Socio-economic data collection for fisheries, aquaculture and the processing industry at EU level). They are aimed at identifying correlations between costs and transversal variables by metier using individual vessel data and for disaggregating variable costs from fleet segment to metier level.
Maintained by Isabella Bitetto. Last updated 6 years ago.
7.6 match 1 stars 2.00 score
pachadotdev
leontief:Input-Output Analysis
An implementation of the Input-Output model developed by Wassily Leontief that represents the interdependencies between different sectors of a national economy or different regional economies.
Maintained by Mauricio Vargas. Last updated 2 years ago.
3.1 match 14 stars 4.92 score 12 scripts
syncrosim
rsyncrosim:The R Interface to 'SyncroSim'
'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher (API documentation: <https://docs.syncrosim.com/>).
Maintained by Katie Birchard. Last updated 10 days ago.
1.9 match 9 stars 7.09 score 189 scripts
ropengov
regions:Processing Regional Statistics
Validating sub-national statistical typologies, re-coding across standard typologies of sub-national statistics, and making valid aggregate level imputation, re-aggregation, re-weighting and projection down to lower hierarchical levels to create meaningful data panels and time series.
Maintained by Daniel Antal. Last updated 2 years ago.
observatoryregionsropengovstatistics
1.5 match 12 stars 8.81 score 67 scripts 5 dependents
mrc-ide
naomi:Naomi Model for Subnational HIV Estimates
This package implements the Naomi model for subnational HIV estimates.
Maintained by Jeff Eaton. Last updated 7 days ago.
1.7 match 9 stars 7.74 score 54 scripts 2 dependentspik-piam
mredgebuildings:Prepare data to be used by the EDGE-Buildings model
Prepare data to be used by the EDGE-Buildings model.
Maintained by Robin Hasse. Last updated 3 days ago.
3.5 match 3.72 score
jvieira13
tsdisagg2:Time Series Disaggregation
Disaggregates low frequency time series data to higher frequency series. Implements the following methods for temporal disaggregation: Boot, Feibes and Lisman (1967) <DOI:10.2307/2985238>, Chow and Lin (1971) <DOI:10.2307/1928739>, Fernandez (1981) <DOI:10.2307/1924371> and Litterman (1983) <DOI:10.2307/1391858>.
Maintained by Jorge Vieira. Last updated 8 years ago.
6.1 match 2.00 score 2 scriptspik-piam
mrremind:MadRat REMIND Input Data Package
The mrremind packages contains data preprocessing for the REMIND model.
Maintained by Lavinia Baumstark. Last updated 4 days ago.
1.9 match 4 stars 6.25 score 15 scripts 1 dependents
christopherkenny
geomander:Geographic Tools for Studying Gerrymandering
A compilation of tools to complete common tasks for studying gerrymandering. This focuses on the geographic tool side of common problems, such as linking different levels of spatial units or estimating how to break up units. Functions exist for creating redistricting-focused data for the US.
Maintained by Christopher T. Kenny. Last updated 19 days ago.
1.5 match 14 stars 7.81 score 191 scripts 1 dependents
a-b-street
abstr:R Interface to the A/B Street Transport System Simulation Software
Provides functions to convert origin-destination data, represented as straight 'desire lines' in the 'sf' Simple Features class system, into JSON files that can be directly imported into A/B Street <https://www.abstreet.org>, a free and open source tool for simulating urban transport systems and scenarios of change <doi:10.1007/s10109-020-00342-2>.
Maintained by Nathanael Sheehan. Last updated 3 years ago.
1.7 match 34 stars 6.87 score 27 scripts
itsleeds
od:Manipulate and Map Origin-Destination Data
The aim of 'od' is to provide tools and example datasets for working with origin-destination ('OD') datasets of the type used to describe aggregate urban mobility patterns (Carey et al. 1981) <doi:10.1287/trsc.15.1.32>. The package builds on functions for working with 'OD' data in the package 'stplanr', (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053> with a focus on computational efficiency and support for the 'sf' class system (Pebesma 2018) <doi:10.32614/RJ-2018-009>. With few dependencies and a simple class system based on data frames, the package is intended to facilitate efficient analysis of 'OD' datasets and to provide a place for developing new functions. The package enables the creation and analysis of geographic entities representing large scale mobility patterns, from daily travel between zones in cities to migration between countries.
Maintained by Robin Lovelace. Last updated 5 months ago.
1.3 match 33 stars 8.50 score 96 scripts 6 dependents
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.
1.7 match 20 stars 5.45 score 28 scripts
aleksandarsekulic
meteo:RFSI & STRK Interpolation for Meteo and Environmental Variables
Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020) <doi:10.3390/rs12101687>) and spatio-temporal geostatistical (spatio-temporal regression Kriging (STRK)) interpolation for meteorological (Kilibarda et al. (2014) <doi:10.1002/2013JD020803>, Sekulić et al. (2020) <doi:10.1007/s00704-019-03077-3>) and other environmental variables. Contains global spatio-temporal models calculated using publicly available data.
Maintained by Aleksandar Sekulić. Last updated 6 months ago.
1.8 match 18 stars 5.06 score 64 scripts
damurka
khisr:An R Client to Retrieve Data from DHIS2
Provides a user-friendly interface for interacting with the District Health Information Software 2 (DHIS2) instance. It streamlines data retrieval, empowering researchers, analysts, and healthcare professionals to obtain and utilize data efficiently.
Maintained by David Kariuki. Last updated 5 months ago.
1.8 match 1 stars 4.78 score 7 scripts 1 dependentspik-piam
rmndt:Tools for data.table objects in the REMIND context
Helper functions for REMIND-related tasks with data.table objects, e.g., interpolation and (dis-)aggregation.
Maintained by Alois Dirnaichner. Last updated 11 months ago.
2.4 match 2.95 score 10 scripts 6 dependents
robjhyndman
TACforecasting:Forecasting Functions for the Transport Accident Commission
Functions to make hierarchical time series forecasts of attendant care hours easier.
Maintained by Rob Hyndman. Last updated 2 years ago.
3.4 match 2 stars 2.00 score 3 scripts
michaelwrobbins
microsynth:Synthetic Control Methods with Micro- And Meso-Level Data
A generalization of the 'Synth' package that is designed for data at a more granular level (e.g., micro-level). Provides functions to construct weights (including propensity score-type weights) and run analyses for synthetic control methods with micro- and meso-level data; see Robbins, Saunders, and Kilmer (2017) <doi:10.1080/01621459.2016.1213634> and Robbins and Davenport (2021) <doi:10.18637/jss.v097.i02>.
Maintained by Michael Robbins. Last updated 2 years ago.
1.7 match 1 stars 3.71 score 34 scripts
vimc
montagu:Interface with 'montagu'
Client for interacting with the montagu API, and authentication with the montagu OrderlyWeb instance. This package is part of montagu.
Maintained by Rich FitzJohn. Last updated 5 years ago.
1.6 match 2 stars 3.48 score 3 scripts
adamkocsis
via:Virtual Arrays
The base class 'VirtualArray' is defined, which acts as a wrapper around lists allowing users to fold arbitrary sequential data into n-dimensional, R-style virtual arrays. The derived 'XArray' class is defined to be used for homogeneous lists that contain a single class of objects. The 'RasterArray' and 'SfArray' classes enable the use of stacked spatial data instead of lists.
Maintained by Adam T. Kocsis. Last updated 2 years ago.
1.8 match 3 stars 3.18 score 8 scripts
chjackson
disbayes:Bayesian Multi-State Modelling of Chronic Disease Burden Data
Estimation of incidence and case fatality for a chronic disease, given partial information, using a multi-state model. Given data on age-specific mortality and either incidence or prevalence, Bayesian inference is used to estimate the posterior distributions of incidence, case fatality, and functions of these such as prevalence. The methods are described in Jackson et al. (2023) <doi:10.1093/jrsssa/qnac015>.
Maintained by Christopher Jackson. Last updated 1 years ago.
1.1 match 8 stars 4.60 score 10 scriptspik-piam
luscale:PIK Landuse Group Data Scaling Tools
A collection of tools which allow to aggregate and disaggregate data in various ways.
Maintained by Jan Philipp Dietrich. Last updated 4 months ago.
0.6 match 2 stars 6.14 score 58 scripts 24 dependents
haqqulamin06
ctablerseh:Processing Survey Data with Confidence Intervals Like 'SPSS' Software
Processes survey data and displays estimation results along with the relative standard error in a table, including the number of samples and also uses a t-distribution approach to compute confidence intervals, similar to 'SPSS' (Statistical Package for the Social Sciences) software.
Maintained by Asy-Syajaul Haqqul Amin. Last updated 26 days ago.
3.3 match 1.00 score
erinmh
disagg2:Support Functions for Time Series Analysis Book
Contains the support functions for the Time Series Analysis book. We present a function to calculate MSE and MAE for inputs of actual and forecast values. We also have the code for disaggregation as found in Wei and Stram (1990, <doi:10.1111/j.2517-6161.1990.tb01799.x>), and Hodgess and Wei (1996, "Temporal Disaggregation of Time Series").
Maintained by Erin Hodgess. Last updated 21 days ago.
2.7 match 1.00 score
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.
0.5 match 4.85 score 1 scripts
whoequity
healthequal:Compute Summary Measures of Health Inequality
Compute 21 summary measures of health inequality and its corresponding confidence intervals for ordered and non-ordered dimensions using disaggregated data. Measures for ordered dimensions (e.g., Slope Index of Inequality, Absolute Concentration Index) also accept individual and survey data.
Maintained by Katherine Kirkby. Last updated 4 months ago.
inequalitiesmeasuressummary-statistics
0.5 match 1 stars 4.78 score 7 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.
1.0 match 2.48 score
ingorohlfing
QCAcluster:Tools for the Analysis of Clustered Data in QCA
Clustered set-relational data in Qualitative Comparative Analysis (QCA) can have a hierarchical structure, a panel structure or repeated cross sections. 'QCAcluster' allows QCA researchers to supplement the analysis of pooled the data with a disaggregated perspective focusing on selected partitions of the data. The pooled data can be partitioned along the dimensions of the clustered data (individual cross sections or time series) to perform partition-specific truth table minimizations. Empirical researchers can further calculate the weight that each partition has on the parameters of the pooled solution and the diversity of the cases under analysis within and across partitions (see <https://ingorohlfing.github.io/QCAcluster/>).
Maintained by Ingo Rohlfing. Last updated 3 years ago.
0.5 match 2 stars 4.68 score 12 scripts
rapidsurveys
odkr:'Open Data Kit' ('ODK') R API
Utility functions for working with datasets gathered using 'Open Data Kit' ('ODK') <https://opendatakit.org/>. These include an API to interface with 'ODK Briefcase', a 'Java' application for fetching and pushing 'ODK' forms and their contents, that allows pulling of data from either a remote 'ODK Aggregate Server' or a local 'ODK' folder, a rename function to give more human readable variable names for 'ODK' datasets, a merge function to create a single dataframe from a nested 'ODK' dataset and an expand function to disaggregate multiple choice answers that have been collapsed into single code by 'ODK'.
Maintained by Ernest Guevarra. Last updated 5 months ago.
odkodk-briefcaseopen-data-kitopenjdk
0.5 match 11 stars 3.32 score 19 scriptscran
acid:Analysing Conditional Income Distributions
Functions for the analysis of income distributions for subgroups of the population as defined by a set of variables like age, gender, region, etc. This entails a Kolmogorov-Smirnov test for a mixture distribution as well as functions for moments, inequality measures, entropy measures and polarisation measures of income distributions. This package thus aides the analysis of income inequality by offering tools for the exploratory analysis of income distributions at the disaggregated level.
Maintained by Alexander Sohn. Last updated 9 years ago.
0.5 match 1.00 score