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lambda_betting_agrapa() and
lambda_betting_ons(), adaptive betting-fraction rules for
the strong-null e-process (eprocess_betting()), adapting
the aGRAPA and ONS-m algorithms of Waudby-Smith and Ramdas (2024) to
Arnold et al. (2026)’s bounded strong-null setting. These adaptations
are original to seqcomp, not given in either source
paper.build_agrapa_betting_array() and
build_ons_betting_array() to construct the T x m x m
lambda_param arrays these rules require for
smcs_strong(), including a period argument for
known periodic (e.g. day-of-week) structure.compare_multiple_forecasts() is renamed to
smcs_compare(). This function was never released on CRAN
(only available on GitHub as part of unreleased 0.2.0 development), so
this is not a breaking change for any CRAN user.cs_bernstein() after verifying it does not cause any
numerical issues (as for validity, the floor was a conservative measure
in the fist place, so nothing that affects validity).smcs_compare() as a high-level wrapper to
sequentially compare 3 or more forecasters simultaneously.smcs_strong() and smcs_weak() to
construct confidence sets under the strong, uniformly weak, and weak
null hypotheses.eprocess_betting()) and adaptive betting fractions for
quantile forecasts (lambda_betting_quantile()).vovk_wang_merge() for highly efficient \(O(m \log m)\) closed-testing e-value
merging.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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