Evaluate the Discrepancy Between Two Real-Time Updated Probabilistic Forecasts R package rtForecastEval version 0.1.0 Methods from Yeh, Rice, and Dubin (2022) <doi:10.1080/00031305.2021.1967781> for comparing two continuously updated probabilistic forecasts under squared (Brier) loss: pointwise loss and variance, a global delta test (Monte Carlo p-values), simulation designs, and a naive pointwise band plot. Software Imports: dplyr (>= 1.0.1), ggplot2 (>= 3.3.2), stats (>= 4.0.3), tidyr (>= 1.1.1), RSpectra (>= 0.16.0), rlist (>= 0.4.6.1), purrr (>= 0.3.4), MASS (>= 7.3-52) Suggests: pkgload (>= 1.2.0), knitr (>= 1.28.0), readr (>= 1.3.1), reshape2 (>= 1.4.4), rmarkdown (>= 2.1.0), gridExtra (>= 2.3.0), tibble (>= 3.0.3), sde Chi-Kuang Yeh <cyeh@gsu.edu> Comprehensive R Archive Network (CRAN) Chi-Kuang Yeh [aut, cre] (ORCID: <https://orcid.org/0000-0001-7057-2096>), Gregory Rice [ctb, ths], Joel A. Dubin [ctb, ths] GPL-3 2026-04-28 application/tgz https://CRAN.R-project.org/package=rtForecastEval doi:10.32614/CRAN.package.rtForecastEval