{ "_id": "6a43f49a8696d7565c169764", "Package": "seqcomp", "Type": "Package", "Title": "Sequential Comparison of Probabilistic Forecasts", "Version": "0.1.0", "Authors@R": "person(\n\"Akbar\", \"Alasgarli\",\nemail = \"alasgarliakbar@gmail.com\",\nrole = c(\"aut\", \"cre\"))", "Description": "Implements tools for sequential comparison of\nprobabilistic forecasts, including binary and categorical\nscoring rules, anytime-valid confidence sequences, e-processes,\nWinkler-score comparisons, lag handling, and predictable-bound\ne-processes.", "License": "MIT + file LICENSE", "URL": "https://github.com/alasgarliakbar/seqcomp", "BugReports": "https://github.com/alasgarliakbar/seqcomp/issues", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-30 16:50:36 UTC", "User": "root" }, "Author": "Akbar Alasgarli [aut, cre]", "Maintainer": "Akbar Alasgarli ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-30 12:20:02 UTC", "RemoteUrl": "https://github.com/cran/seqcomp", "RemoteRef": "HEAD", "RemoteSha": "55934cbcba1621f4eb1dab587e24ef9cefebdd1c", "MD5sum": "3379122967643f86964a6c3cdb6cf0b5", "_user": "cran", "_type": "src", "_file": "seqcomp_0.1.0.tar.gz", "_fileid": "d9e683acf37fee5d51e42fd53f0e8c39e3f631f319db6cefd4a1c5eac1667d26", "_filesize": 469349, "_sha256": "d9e683acf37fee5d51e42fd53f0e8c39e3f631f319db6cefd4a1c5eac1667d26", "_created": "2026-06-30T16:50:36.000Z", "_published": "2026-06-30T16:53:46.719Z", "_distro": "resolute", "_jobs": [ { "job": 84349327138, "time": 128, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7987678809" }, { "job": 84349327095, "time": 126, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "7987678815" }, { "job": 84348708377, "time": 173, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "7987622314" }, { "job": 84349327098, "time": 163, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7987694889" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/28461035222", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/seqcomp", "_commit": { "id": "55934cbcba1621f4eb1dab587e24ef9cefebdd1c", "author": "Akbar Alasgarli ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1782822002 }, "_maintainer": { "name": "Akbar Alasgarli", "email": "alasgarliakbar@gmail.com", "login": "alasgarliakbar", "description": "", "uuid": 208246434 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "lamW", "role": "Imports" }, { "package": "scoringRules", "role": "Suggests" }, { "package": "VGAM", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-27", "n": 1 } ], "_tags": [ { "name": "0.1.0", "date": "2026-06-30" } ], "_stars": 0, "_contributors": [ { "user": "alasgarliakbar", "count": 1, "uuid": 208246434 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 614, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/seqcomp" }, "_devurl": "https://github.com/alasgarliakbar/seqcomp", "_searchresults": 4, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/seqcomp.html", "LICENSE", "manual.pdf" ], "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2026-06-30" } ], "_exports": [ "brier_score", "calibrate_p_to_e", "cm_boundary", "compare_forecasts", "crps_empirical", "crps_normal", "crps_std", "cs_asymptotic", "cs_bernstein", "cs_hoeffding", "eprocess", "eprocess_lag", "eprocess_predictable", "eprocess_rejections", "ge_boundary", "log_score", "predictable_rejections", "ps_boundary", "qlike_score", "rho_from_vopt", "score_bounds", "score_diff_scales", "spherical_score", "split_streams", "tick_loss", "unroll_stream", "winkler_compare", "winkler_cs", "winkler_etest", "winkler_score" ], "_help": [ { "page": "seqcomp-package", "title": "seqcomp: Sequential Comparison of Probabilistic Forecasts", "topics": [ "seqcomp-package", "seqcomp" ] }, { "page": "brier_score", "title": "Brier score for binary and categorical forecasts", "topics": [ "brier_score" ] }, { "page": "calibrate_p_to_e", "title": "P-to-e calibrator", "topics": [ "calibrate_p_to_e" ] }, { "page": "cm_boundary", "title": "Normal mixture (CM) boundary", "topics": [ "cm_boundary" ] }, { "page": "compare_forecasts", "title": "Compare Two Sequential Forecasters", "topics": [ "compare_forecasts" ] }, { "page": "crps_empirical", "title": "Negated CRPS for empirical predictive distributions", "topics": [ "crps_empirical" ] }, { "page": "crps_normal", "title": "Negated CRPS for normal predictive distributions", "topics": [ "crps_normal" ] }, { "page": "crps_std", "title": "Negated CRPS for Student-t predictive distributions", "topics": [ "crps_std" ] }, { "page": "cs_asymptotic", "title": "Asymptotic confidence sequence (Appendix C, Eq. 55, Choe & Ramdas 2023)", "topics": [ "cs_asymptotic" ] }, { "page": "cs_bernstein", "title": "Empirical Bernstein confidence sequence (Theorem 2, Choe & Ramdas 2023)", "topics": [ "cs_bernstein" ] }, { "page": "cs_hoeffding", "title": "Hoeffding-style confidence sequence (Theorem 1, Choe & Ramdas 2023)", "topics": [ "cs_hoeffding" ] }, { "page": "eprocess", "title": "Sub-exponential mixture e-process (Theorem 3, Choe & Ramdas 2023)", "topics": [ "eprocess" ] }, { "page": "eprocess_lag", "title": "Lag-h e-process for sequential forecast comparison (Propositions 5 & 6)", "topics": [ "eprocess_lag" ] }, { "page": "eprocess_predictable", "title": "Fixed-lambda e-process with predictable bounds (Proposition 7)", "topics": [ "eprocess_predictable" ] }, { "page": "eprocess_rejections", "title": "Determine rejection times for an e-process output", "topics": [ "eprocess_rejections" ] }, { "page": "ge_boundary", "title": "Gamma-exponential mixture boundary", "topics": [ "ge_boundary" ] }, { "page": "log_score", "title": "Logarithmic score for binary and categorical forecasts", "topics": [ "log_score" ] }, { "page": "predictable_rejections", "title": "Summarise predictable bounds e-process", "topics": [ "predictable_rejections" ] }, { "page": "ps_boundary", "title": "Polynomial stitched (PS) boundary", "topics": [ "ps_boundary" ] }, { "page": "qlike_score", "title": "Negated QLIKE score for variance forecasts", "topics": [ "qlike_score" ] }, { "page": "rho_from_vopt", "title": "Convert optimal intrinsic time to rho", "topics": [ "rho_from_vopt" ] }, { "page": "score_bounds", "title": "Score difference bounds for a named scoring rule", "topics": [ "score_bounds" ] }, { "page": "score_diff_scales", "title": "Score difference bounds -> sub-Gaussian / sub-exponential scale", "topics": [ "score_diff_scales" ] }, { "page": "spherical_score", "title": "Spherical score for binary and categorical forecasts", "topics": [ "spherical_score" ] }, { "page": "split_streams", "title": "Split a sequence into h interleaved lag streams", "topics": [ "split_streams" ] }, { "page": "tick_loss", "title": "Negated tick loss for quantile forecasts", "topics": [ "tick_loss" ] }, { "page": "unroll_stream", "title": "Unroll a stream-wise quantity back to the original time scale", "topics": [ "unroll_stream" ] }, { "page": "winkler_compare", "title": "Full Winkler comparison pipeline (Proposition 4)", "topics": [ "winkler_compare" ] }, { "page": "winkler_cs", "title": "One-sided empirical Bernstein CS for Winkler scores (Proposition 4)", "topics": [ "winkler_cs" ] }, { "page": "winkler_etest", "title": "E-process for Winkler scores (Proposition 4 + Theorem 3)", "topics": [ "winkler_etest" ] }, { "page": "winkler_score", "title": "Winkler-normalized binary score", "topics": [ "winkler_score" ] } ], "_readme": "https://github.com/cran/seqcomp/raw/HEAD/README.md", "_rundeps": [ "lamW", "Rcpp", "RcppParallel" ], "_vignettes": [ { "source": "seqcomp.Rmd", "filename": "seqcomp.html", "title": "Getting started with seqcomp", "engine": "knitr::rmarkdown", "headings": [ "Overview", "A simple binary forecasting example", "Compare the forecasts", "Interpreting the confidence sequence", "Interpreting the e-process", "Using lower-level functions directly", "Choosing a scoring rule", "Practical guidance" ], "created": "2026-06-30 12:20:02", "modified": "2026-06-30 12:20:02", "commits": 1 } ], "_score": 2.6989700043360187, "_indexed": true, "_nocasepkg": "seqcomp", "_universes": [ "cran", "alasgarliakbar" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-06-30T16:52:41.000Z", "distro": "resolute", "commit": "55934cbcba1621f4eb1dab587e24ef9cefebdd1c", "fileid": "a141b21e668a0f0cfc413449fa55ec134f3989d0a058e62fd9d206fac4ec9633", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/28461035222" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0", "date": "2026-06-30T16:52:40.000Z", "distro": "resolute", "commit": "55934cbcba1621f4eb1dab587e24ef9cefebdd1c", "fileid": "1222d5b3f00ca3b9a68c3d7eeb5fb6dac067dd87a99155c214deed7febc72cce", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/28461035222" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-06-30T16:53:33.000Z", "commit": "55934cbcba1621f4eb1dab587e24ef9cefebdd1c", "fileid": "7a3cd1d05d3db32c51f7284ced54aa542385377598fabd91b142ac7b2dc35a73", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/28461035222" } ] }