seqcomp: Sequential Comparison of Probabilistic Forecasts

Implements tools for the anytime-valid sequential comparison of two or more probabilistic forecasters. Provides binary, categorical, and quantile scoring rules, together with finite-sample confidence sequences and e-processes following Choe and Ramdas (2024) <doi:10.1287/opre.2021.0792>. Extends to multi-model evaluation via Sequential Model Confidence Sets, following Arnold, Gavrilopoulos, Schulz, and Ziegel (2026) <doi:10.1093/jrsssb/qkag066>, using closure principles, joint confidence sequences, and accelerated closed-testing. Adaptive betting fractions for the strong null (aGRAPA and ONS-m) are adapted from Waudby-Smith and Ramdas (2024) <doi:10.1093/jrsssb/qkad009>. Also includes Winkler-score comparisons, lag handling, and predictable-bound betting e-processes.

Version: 0.3.0
Depends: R (≥ 4.1.0)
Imports: lamW
Suggests: scoringRules, VGAM, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-09-27
DOI: 10.32614/CRAN.package.seqcomp
Author: Akbar Alasgarli [aut, cre]
Maintainer: Akbar Alasgarli <alasgarliakbar at gmail.com>
BugReports: https://github.com/alasgarliakbar/seqcomp/issues
License: MIT + file LICENSE
URL: https://github.com/alasgarliakbar/seqcomp, https://alasgarliakbar.github.io/seqcomp/
NeedsCompilation: no
Citation: seqcomp citation info
Materials: README, NEWS
CRAN checks: seqcomp results

Documentation:

Reference manual: seqcomp.html , seqcomp.pdf
Vignettes: Choosing an Adaptive Betting Strategy (source, R code)
Getting started with seqcomp (source, R code)
Comparing Multiple Forecasters with SMCS (source, R code)

Downloads:

Package source: seqcomp_0.3.0.tar.gz
Windows binaries: r-devel: seqcomp_0.1.0.zip, r-release: seqcomp_0.1.0.zip, r-oldrel: seqcomp_0.1.0.zip
macOS binaries: r-release (arm64): seqcomp_0.1.0.tgz, r-oldrel (arm64): seqcomp_0.3.0.tgz, r-release (x86_64): seqcomp_0.3.0.tgz, r-oldrel (x86_64): seqcomp_0.3.0.tgz
Old sources: seqcomp archive

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