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uncertainUCDP (version 0.7.6)

Parametric Mixture Models for Uncertainty Estimation of Fatalities in UCDP Conflict Data

Description

Provides functions for estimating uncertainty in the number of fatalities in the Uppsala Conflict Data Program (UCDP) data. The package implements a parametric reported-value Gumbel mixture distribution that accounts for the uncertainty in the number of fatalities in the UCDP data. The model is based on information from a survey on UCDP coders and how they view the uncertainty of the number of fatalities from UCDP events. The package provides functions for making random draws of fatalities from the mixture distribution, as well as to estimate percentiles, quantiles, means, and other statistics of the distribution. Full details on the survey and estimation procedure can be found in Vesco et al (2024).

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Version

Install

install.packages('uncertainUCDP')

Monthly Downloads

483

Version

0.7.6

License

GPL (>= 3)

Maintainer

David Randahl

Last Published

January 23rd, 2026

Functions in uncertainUCDP (0.7.6)

ucdpged

UCDP Georeferenced Event Dataset (GED) sample
rubin_b_and_ses

Pool coefficients and standard errors from multiple `coeftest` objects
runcertainUCDP

Parametric uncertainty distributions for UCDP events
models_rubin_rules

Pool regression coefficients and standard errors via Rubin's rules
mean_uncertainUCDP

Mean, median, and quantiles of the parametric uncertainty distributions for UCDP events
uncertainUCDP_parameters

Parameter extraction for uncertainUCDP-functions
uncertainUCDP-package

uncertainUCDP: Parametric Mixture Models for Uncertainty Estimation of Fatalities in UCDP Conflict Data