Package: verdata 1.0.2

Maria Gargiulo

verdata: Analyze Data from the Truth Commission in Colombia

Facilitates use and analysis of data about the armed conflict in Colombia resulting from the joint project between La Jurisdicción Especial para la Paz (JEP), La Comisión para el Esclarecimiento de la Verdad, la Convivencia y la No repetición (CEV), and the Human Rights Data Analysis Group (HRDAG). The data are 100 replicates from a multiple imputation through chained equations as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. With the replicates the user can examine four human rights violations that occurred in the Colombian conflict accounting for the impact of missing fields and fully missing observations.

Authors:Maria Gargiulo [aut, cre], María Juliana Durán [aut], Paula Andrea Amado [aut], Patrick Ball [rev]

verdata_1.0.2.tar.gz
verdata_1.0.2.zip(r-4.7)verdata_1.0.2.zip(r-4.6)verdata_1.0.2.zip(r-4.5)
verdata_1.0.2.tgz(r-4.6-any)verdata_1.0.2.tgz(r-4.5-any)
verdata_1.0.2.tar.gz(r-4.6-any)verdata_1.0.2.tar.gz(r-4.5-any)
verdata_1.0.2.tgz(r-4.5-emscripten)
verdata.pdf |verdata.html✨
verdata/json (API)
NEWS

# Install 'verdata' in R:
install.packages('verdata', repos = c('https://hrdag.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hrdag/verdata/issues

Datasets:
  • diccionario_replicas - Diccionario de datos para las variables que aparecen en los archivos de las réplicas.
  • diccionario_vars_adicional - Variables adicionales que pueden ser útiles para analizar los datos.
  • estratificacion - Datos que documentan las estratificaciones necesarias para replicar los resultados del informe metodológico del proyecto conjunto CEV-HRDAG-JEP (versión en español).
  • stratification - Data documenting the stratifications used to replicate the results of the methodological report of the joint JEP-CEV-HRDAG project (version in English).

On CRAN:

Conda:

armed-conflictcapture-recapturecolombiamultiple-imputationmultiple-systems-estimation

5.77 score 16 stars 92 scripts 275 downloads 14 exports 40 dependencies

Last updated from:6d62ea3806. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK156
source / vignettesOK168
linux-release-x86_64OK135
macos-release-arm64OK146
macos-oldrel-arm64OK148
windows-develOK130
windows-releaseOK126
windows-oldrelOK125
wasm-releaseOK119

Exports:%>%combine_estimatescombine_replicatesconfirm_filesestimates_existfilter_standard_cevget_valid_sourceslookup_estimatesmseproportions_imputedproportions_observedread_replicatesrun_lcmcrsummary_observed

Dependencies:arrowassertrassertthatbitbit64clicliprcpp11crayondigestdplyrgenericsgluehmsLCMCRlifecycleloggermagrittrMASSpillarpkgconfigprettyunitsprogresspurrrR6rbibutilsRdpackreadrrjsonrlangstringistringrtibbletidyrtidyselecttzdbutf8vctrsvroomwithr

Readme and manuals

Help Manual

Help pageTopics
Combine MSE estimation results for a given stratum calculated using multiple replicate files created using multiple imputation. Combination is done using the standard approach that makes use of the laws of total expectation and total variance.combine_estimates
Combine imputed replicates according to calculate totals. Combination is done using the standard approach that makes use of the laws of total expectation and total variance.combine_replicates
Confirm files are identical to the ones published.confirm_files
Diccionario de datos para las variables que aparecen en los archivos de las réplicas.diccionario_replicas
Variables adicionales que pueden ser útiles para analizar los datos.diccionario_vars_adicional
Check whether stratum estimates already exist in pre-calculated files.estimates_exist
Datos que documentan las estratificaciones necesarias para replicar los resultados del informe metodológico del proyecto conjunto CEV-HRDAG-JEP (versión en español).estratificacion
Filter records to replicate results presented in the CEV methodology report.filter_standard_cev
Determine valid sources for estimation of a stratum of interest.get_valid_sources
lookup_estimateslookup_estimates
msemse
Calculate the proportions of each level of a variable after applying 'combine_replicates' to completed data (includes imputed values).proportions_imputed
Calculate the proportions of each level of a variable after applying 'summary_observed' to observed values.proportions_observed
Read replicates in a directory and verify they are identical to the ones published.read_replicates
Calculate multiple systems estimation estimates using the Bayesian Non-Parametric Latent-Class Capture-Recapture model developed by Daniel Manrique-Vallier (2016).run_lcmcr
Data documenting the stratifications used to replicate the results of the methodological report of the joint JEP-CEV-HRDAG project (version in English).stratification
Summary statistics for observed data.summary_observed