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pintervals - Model Agnostic Prediction Intervals

Provides tools for estimating model-agnostic prediction intervals using conformal prediction, bootstrapping, and parametric prediction intervals. The package is designed for ease of use, offering intuitive functions for both binned and full conformal prediction methods, as well as parametric interval estimation with diagnostic checks. Currently only working for continuous predictions. For details on the conformal and bin-conditional conformal prediction methods, see Randahl, Williams, and Hegre (2026) <DOI:10.1017/pan.2025.10010>.

Last updated

cpp

5.59 score 7 stars 10 scripts 265 downloads

evinf - Inference with Extreme Value Inflated Count Data

Allows users to model and draw inferences from extreme value inflated count data, and to evaluate these models and compare them to their non extreme-value inflated counterparts. The package is built to be compatible with standard model-presentation tools such as the 'broom', 'generics', and 'modelsummary' packages.

Last updated

openblascppopenmp

3.18 score 1 stars 342 downloads

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

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).

Last updated

2.00 score 259 downloads