{ "_id": "6a27bbee24555f66ed53b3d8", "Type": "Package", "Package": "pacheck", "Title": "Probabilistic Analysis Check Package", "Version": "0.2.2.9000", "Maintainer": "Xavier Pouwels ", "Author": "Xavier Pouwels [aut, cre, cph]", "Authors@R": "c(person(given = \"Xavier\", family = \"Pouwels\", role = c(\"aut\",\n\"cre\", \"cph\"), email = \"x.g.l.v.pouwels@utwente.nl\"))", "Description": "Investigate (analytically or visually) the inputs and\noutputs of probabilistic analyses of health economic models\nusing standard health economic visualisation and metamodelling\nmethods.", "License": "GPL (>= 3)", "Config/testthat/edition": "3", "Encoding": "UTF-8", "LazyDataCompression": "xz", "LazyData": "true", "RoxygenNote": "7.3.2", "URL": "https://xa4p.github.io/pacheck/, https://github.com/Xa4P/pacheck", "VignetteBuilder": "knitr", "BugReports": "https://github.com/Xa4P/pacheck/issues", "Repository": "https://xa4p.r-universe.dev", "Date/Publication": "2026-02-09 11:56:26 UTC", "RemoteUrl": "https://github.com/xa4p/pacheck", "RemoteRef": "HEAD", "RemoteSha": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-09 06:56:43 UTC", "User": "root" }, "MD5sum": "97347c0607683a9bff6bad977ef1c259", "_user": "xa4p", "_type": "src", "_file": "pacheck_0.2.2.9000.tar.gz", "_fileid": "ec713741a308da387c4556bc80009d9c91ebe33ab139acdb8f6c252b3a06c95a", "_filesize": 5048165, "_sha256": "ec713741a308da387c4556bc80009d9c91ebe33ab139acdb8f6c252b3a06c95a", "_created": "2026-06-09T06:56:43.000Z", "_published": "2026-06-09T07:08:30.894Z", "_distro": "noble", "_jobs": [ { "job": 80265649382, "time": 189, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7500625441" }, { "job": 80265649341, "time": 188, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7500625174" }, { "job": 80265649320, "time": 193, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7500752236" }, { "job": 80265649322, "time": 199, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7500754863" }, { "job": 80265124880, "time": 221, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7500569082" }, { "job": 80265649318, "time": 138, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7500610939" }, { "job": 80265649373, "time": 134, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7500610153" }, { "job": 80265649369, "time": 132, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7500609023" }, { "job": 80265649358, "time": 185, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7500625410" } ], "_buildurl": "https://github.com/r-universe/xa4p/actions/runs/27189204268", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/xa4p/pacheck", "_commit": { "id": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "author": "Xa4P ", "committer": "Xa4P ", "message": "Increment version number to 0.2.2.9000\n", "time": 1770638186 }, "_maintainer": { "name": "Xavier Pouwels", "email": "x.g.l.v.pouwels@utwente.nl", "login": "xa4p", "description": "I am a enthusiastic R-user for everything that relates to health economic modelling!", "uuid": 77057518 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "assertthat", "role": "Imports" }, { "package": "boot", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "fitdistrplus", "role": "Imports" }, { "package": "flexsurv", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "glue", "role": "Imports" }, { "package": "gtools", "role": "Imports" }, { "package": "interp", "role": "Imports" }, { "package": "moments", "role": "Imports" }, { "package": "randomForestSRC", "role": "Imports" }, { "package": "reshape2", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "signal", "role": "Imports" }, { "package": "simsurv", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "stringi", "role": "Imports" }, { "package": "testthat", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "glmnet", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "survival", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "xa4p", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-49", "n": 13 }, { "week": "2025-50", "n": 8 }, { "week": "2025-51", "n": 19 }, { "week": "2026-02", "n": 3 }, { "week": "2026-03", "n": 2 }, { "week": "2026-07", "n": 5 } ], "_tags": [ { "name": "v0.2.2", "date": "2026-01-13" } ], "_stars": 6, "_contributors": [ { "user": "xa4p", "count": 364, "uuid": 77057518 }, { "user": "martstaarink", "count": 38, "uuid": 152788322 }, { "user": "karel-kroeze", "count": 5, "uuid": 6831612 }, { "user": "cmasmit", "count": 2, "uuid": 150023680 } ], "_userbio": { "uuid": 77057518, "type": "user", "name": "Xa4P", "description": "I am a enthusiastic R-user for everything that relates to health economic modelling!" }, "_downloads": { "count": 136, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/pacheck" }, "_devurl": "https://github.com/xa4p/pacheck", "_pkgdown": "https://xa4p.github.io/pacheck/", "_searchresults": 11, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/pacheck.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/xa4p/pacheck", "_realowner": "xa4p", "_cranurl": true, "_releases": [ { "version": "0.2.2", "date": "2026-01-18" } ], "_exports": [ "calculate_ceac", "calculate_ceac_mult", "calculate_nb", "calculate_nb_mult", "check_binary", "check_mean_qol", "check_positive", "check_psa_darth", "check_range", "check_sum_probs", "check_sum_vars", "check_surv_mod", "do_check", "do_discount_check", "do_quick_check", "estimate_decision_sensitivity", "fit_dist", "fit_lasso_metamodel", "fit_lm_metamodel", "fit_rf_metamodel", "generate_cor", "generate_det_inputs", "generate_pa_inputs", "generate_pa_inputs_psm", "generate_sum_stats", "perform_dowsa", "perform_simulation", "perform_simulation_psm", "plot_ce", "plot_ce_mult", "plot_ceac", "plot_convergence", "plot_ice", "plot_nb", "plot_nb_mult", "plot_surv_mod", "predict_metamodel", "summary_ice", "validate_metamodel", "vis_1_param", "vis_2_params" ], "_datasets": [ { "name": "df_ckd_inputs", "title": "A dataframe containing probabilistic inputs for testing", "object": "df_ckd_inputs", "class": [ "data.frame" ], "fields": [ "Unnamed..0", "iteration", "screening_sensitivity", "screening_specificity", "screening_cost", "provider_cost", "eGFR_cost", "ultrasound_cost", "ACE.cost", "diabetic_prevalence_30_39", "diabetic_prevalence_40_49", "diabetic_prevalence_50_59", "diabetic_prevalence_60_69", "diabetic_prevalence_70_79", "DM_prev_30_39", "DM_prev_40_49", "DM_prev_50_59", "DM_prev_60_69", "DM_prev_70", "DM_NDM_HR", "dapa.cost", "disutility_medication_decrement", "disutility_medication_cost", "adverse_event_prop", "UTI_event_prop", "UTI_event_cost", "disutility_UTI_decrement", "DKA_event_prop", "DKA_event_cost", "disutility_DKA_decrement", "compliance", "SGLT2_discontinue", "Stage3a.mortality", "Stage3b.mortality", "Stage4.mortality", "Stage5.mortality", "Stage2_QALY", "Stage3a_QALY", "Stage3b_QALY", "Stage4_QALY", "KF_PRE_KRT_QALY", "KF_ON_KRT_QALY", "Stage3a_overall_cost", "Stage3b_overall_cost", "Stage4_overall_cost", "Stage5_overall_cost", "Stage3a_DM_overall_cost", "Stage3b_DM_overall_cost", "Stage4_DM_overall_cost", "Stage3a_NDM_cost", "Stage3b_NDM_cost", "Stage4_NDM_cost", "Stage5_NDM_cost", "Stage3a_DM_cost", "Stage3b_DM_cost", "Stage4_DM_cost", "Stage5_DM_cost", "baseline_costs", "male_prop", "diabetic.ACM.HR", "diabetic.kidney.HR", "non.diabetic.ACM.HR", "non.diabetic.kidney.HR", "TREATMENT.ADHERENCE", "DM_disutility" ], "rows": 1000, "table": true, "tojson": true }, { "name": "df_ckd_results", "title": "A dataframe containing probabilistic outputs for testing", "object": "df_ckd_results", "class": [ "data.frame" ], "fields": [ "full_index", "Starting.age", "intervention", "LY.disc", "LY", "QALY.disc", "QALY", "cost.disc", "costs", "kf_incidence", "ace.costs", "dapa.costs", "screening.costs", "discounted.screening.costs", "diagnosis.costs", "PSA.screening...office", "avg.on.dapa", "dis_LY_detected", "dis_QALY_detected", "dis_cost_detected", "detected_total", "original.treated" ], "rows": 2000, "table": true, "tojson": true }, { "name": "df_iviRA_pa", "title": "Dataframe of inputs and outputs of a health economic model developed and evaluated with the iviRA R package for testing", "object": "df_iviRA_pa", "class": [ "data.frame" ], "fields": [ "p_discount.abtiv", "p_discount.abtsc", "p_discount.ada", "p_discount.adabiosbwwd", "p_discount.ana", "p_discount.bct", "p_discount.czp", "p_discount.etn", "p_discount.etnbiosszzs", "p_discount.etnbiosykro", "p_discount.gol", "p_discount.hcl", "p_discount.ifx", "p_discount.ifxbiosqbtx", "p_discount.cdmards", "p_discount.rtx", "p_discount.sar", "p_discount.ssz", "p_discount.tcz", "p_discount.tof", "p_discount.upa", "p_rebound", "or_mort", "r_haq_prog.cdmards", "r_haq_prog.abtivmtx", "r_haq_prog.abtscmtx", "r_haq_prog.adamtx", "r_haq_prog.ada", "r_haq_prog.adabiosbwwdmtx", "r_haq_prog.anamtx", "r_haq_prog.bct", "r_haq_prog.bctmtx", "r_haq_prog.czp", "r_haq_prog.czpmtx", "r_haq_prog.etn", "r_haq_prog.etnmtx", "r_haq_prog.etnbiosszzsmtx", "r_haq_prog.etnbiosykromtx", "r_haq_prog.gol", "r_haq_prog.golmtx", "r_haq_prog.ifxmtx", "r_haq_prog.ifxbiosqbtxmtx", "r_haq_prog.placebo", "r_haq_prog.nbt", "r_haq_prog.rtx", "r_haq_prog.rtxmtx", "r_haq_prog.sar", "r_haq_prog.sarmtx", "r_haq_prog.triple", "r_haq_prog.tcz", "r_haq_prog.tczmtx", "r_haq_prog.tofmtx", "r_haq_prog.tof", "r_haq_prog.upamtx", "n_hosp_days.haq_less0.5", "n_hosp_days.haq0.5to1", "n_hosp_days.haq1to1.5", "n_hosp_days.haq1.5to2", "n_hosp_days.haq2to2.5", "n_hosp_days.haq2.5plus", "c_hosp_pday.haq_less0.5", "c_hosp_pday.haq0.5to1", "c_hosp_pday.haq1to1.5", "c_hosp_pday.haq1.5to2", "c_hosp_pday.haq2to2.5", "c_hosp_pday.haq2.5plus", "c_si", "c_prod_loss", "u_model_wailoo.int", "u_model_wailoo.age", "u_model_wailoo.dis_dur", "u_model_wailoo.haq0", "u_model_wailoo.male", "u_model_wailoo.prev_dmards", "u_model_wailoo.haq", "t_qaly_thx1", "t_qaly_d_thx1", "t_cost_d_thx1", "t_qaly_thx2", "t_qaly_d_thx2", "t_cost_d_thx2", "inc_qaly", "inc_cost" ], "rows": 1000, "table": true, "tojson": true }, { "name": "df_pa", "title": "Dataframe for testing", "object": "df_pa", "class": [ "data.frame" ], "fields": [ "p_pfspd", "p_pfsd", "p_pdd", "p_dd", "p_ae", "rr", "u_pfs", "u_pd", "u_d", "u_ae", "c_pfs", "c_pd", "c_d", "c_thx", "c_ae", "t_qaly_comp", "t_qaly_int", "t_qaly_d_comp", "t_qaly_d_int", "t_costs_comp", "t_costs_int", "t_costs_d_comp", "t_costs_d_int", "t_ly_comp", "t_ly_int", "t_ly_d_comp", "t_ly_d_int", "t_ly_pfs_d_comp", "t_ly_pfs_d_int", "t_ly_pd_d_comp", "t_ly_pd_d_int", "t_qaly_pfs_d_comp", "t_qaly_pfs_d_int", "t_qaly_pd_d_comp", "t_qaly_pd_d_int", "t_costs_pfs_d_comp", "t_costs_pfs_d_int", "t_costs_pd_d_comp", "t_costs_pd_d_int", "t_qaly_ae_int", "t_costs_ae_int", "inc_ly", "inc_qaly", "inc_costs" ], "rows": 1000, "table": true, "tojson": true }, { "name": "df_pa_psm", "title": "Dataframe for testing", "object": "df_pa_psm", "class": [ "data.frame" ], "fields": [ "p_ae", "r_exp_pfs_comp", "rr_thx_pfs", "r_exp_pfs_int", "shape_weib_os", "scale_weib_os_comp", "rr_thx_os", "scale_weib_os_int", "u_pfs", "u_pd", "u_d", "u_ae", "c_pfs", "c_pd", "c_d", "c_thx", "c_ae", "t_qaly_comp", "t_qaly_int", "t_qaly_d_comp", "t_qaly_d_int", "t_costs_comp", "t_costs_int", "t_costs_d_comp", "t_costs_d_int", "t_ly_comp", "t_ly_int", "t_ly_d_comp", "t_ly_d_int", "t_ly_pfs_d_comp", "t_ly_pfs_d_int", "t_ly_pd_d_comp", "t_ly_pd_d_int", "t_qaly_pfs_d_comp", "t_qaly_pfs_d_int", "t_qaly_pd_d_comp", "t_qaly_pd_d_int", "t_costs_pfs_d_comp", "t_costs_pfs_d_int", "t_costs_pd_d_comp", "t_costs_pd_d_int", "t_qaly_ae_int", "t_costs_ae_int", "inc_ly", "inc_qaly", "inc_costs" ], "rows": 1000, "table": true, "tojson": true }, { "name": "l_psa_aaa", "title": "A dataframe containing probabilistic inputs for testing", "object": "l_psa_aaa", "class": [ "list" ], "fields": [], "table": false, "tojson": false } ], "_help": [ { "page": "calculate_ceac", "title": "Calculate cost-effectiveness probabilities for two strategies.", "topics": [ "calculate_ceac" ] }, { "page": "calculate_ceac_mult", "title": "Calculate cost-effectiveness probabilities.", "topics": [ "calculate_ceac_mult" ] }, { "page": "calculate_nb", "title": "Calculate NMB and NHB for two strategies.", "topics": [ "calculate_nb" ] }, { "page": "calculate_nb_mult", "title": "Calculate NMB and NHB.", "topics": [ "calculate_nb_mult" ] }, { "page": "check_binary", "title": "Check binary", "topics": [ "check_binary" ] }, { "page": "check_mean_qol", "title": "Check mean quality of life", "topics": [ "check_mean_qol" ] }, { "page": "check_positive", "title": "Check whether variables are strictly positive", "topics": [ "check_positive" ] }, { "page": "check_psa_darth", "title": "Check PSA inputs & outputs", "topics": [ "check_psa_darth" ] }, { "page": "check_range", "title": "Check range", "topics": [ "check_range" ] }, { "page": "check_sum_probs", "title": "Check sum probabilities", "topics": [ "check_sum_probs" ] }, { "page": "check_sum_vars", "title": "Check sum variables", "topics": [ "check_sum_vars" ] }, { "page": "check_surv_mod", "title": "Check parametric survival models", "topics": [ "check_surv_mod" ] }, { "page": "df_ckd_inputs", "title": "A dataframe containing probabilistic inputs for testing", "topics": [ "df_ckd_inputs" ] }, { "page": "df_ckd_results", "title": "A dataframe containing probabilistic outputs for testing", "topics": [ "df_ckd_results" ] }, { "page": "df_iviRA_pa", "title": "Dataframe of inputs and outputs of a health economic model developed and evaluated with the iviRA R package for testing", "topics": [ "df_iviRA_pa" ] }, { "page": "df_pa", "title": "Dataframe for testing", "topics": [ "df_pa" ] }, { "page": "df_pa_psm", "title": "Dataframe for testing", "topics": [ "df_pa_psm" ] }, { "page": "do_check", "title": "Perform a check", "topics": [ "do_check" ] }, { "page": "do_discount_check", "title": "Perform discounted and undiscounted results check", "topics": [ "do_discount_check" ] }, { "page": "do_quick_check", "title": "Perform quick checks of inputs and outputs", "topics": [ "do_quick_check" ] }, { "page": "estimate_decision_sensitivity", "title": "Estimate decision sensitivy DSA using linear metamodel", "topics": [ "estimate_decision_sensitivity" ] }, { "page": "fit_dist", "title": "Fit distribution to parameter", "topics": [ "fit_dist" ] }, { "page": "fit_lasso_metamodel", "title": "Fit LASSO metamodel", "topics": [ "fit_lasso_metamodel" ] }, { "page": "fit_lm_metamodel", "title": "Fit linear metamodel", "topics": [ "fit_lm_metamodel" ] }, { "page": "fit_rf_metamodel", "title": "Fit random forest metamodel", "topics": [ "fit_rf_metamodel" ] }, { "page": "generate_cor", "title": "Generate correlation matrix", "topics": [ "generate_cor" ] }, { "page": "generate_det_inputs", "title": "Generate deterministic model inputs.", "topics": [ "generate_det_inputs" ] }, { "page": "generate_pa_inputs", "title": "Generate probabilistic model inputs.", "topics": [ "generate_pa_inputs" ] }, { "page": "generate_pa_inputs_psm", "title": "Generate probabilistic model inputs for partitioned survival model.", "topics": [ "generate_pa_inputs_psm" ] }, { "page": "generate_sum_stats", "title": "Generate summary statistics", "topics": [ "generate_sum_stats" ] }, { "page": "l_psa_aaa", "title": "A dataframe containing probabilistic inputs for testing", "topics": [ "l_psa_aaa" ] }, { "page": "perform_dowsa", "title": "Perform deterministic one-way sensitivity analyses using probabilistic inputs and outputs.", "topics": [ "perform_dowsa" ] }, { "page": "perform_simulation", "title": "Perform the health economic simulation.", "topics": [ "perform_simulation" ] }, { "page": "perform_simulation_psm", "title": "Perform the health economic simulation using partitioned survival model.", "topics": [ "perform_simulation_psm" ] }, { "page": "plot_ce", "title": "Plotting cost-effectiveness plane for two strategies.", "topics": [ "plot_ce" ] }, { "page": "plot_ce_mult", "title": "Plotting cost-effectiveness plane.", "topics": [ "plot_ce_mult" ] }, { "page": "plot_ceac", "title": "Plotting the cost-effectiveness acceptability curves.", "topics": [ "plot_ceac" ] }, { "page": "plot_convergence", "title": "Plot moving average", "topics": [ "plot_convergence" ] }, { "page": "plot_ice", "title": "Plotting the incremental cost-effectiveness plane.", "topics": [ "plot_ice" ] }, { "page": "plot_nb", "title": "Plot (i)NMB or (i)NHB.", "topics": [ "plot_nb" ] }, { "page": "plot_nb_mult", "title": "Plot NMB or NHB.", "topics": [ "plot_nb_mult" ] }, { "page": "plot_surv_mod", "title": "Plot parametric survival models", "topics": [ "plot_surv_mod" ] }, { "page": "predict_metamodel", "title": "Predict using a fitted metamodel", "topics": [ "predict_metamodel" ] }, { "page": "summary_ice", "title": "Summary statistics of the incremental cost-effectiveness plane.", "topics": [ "summary_ice" ] }, { "page": "validate_metamodel", "title": "Validate metamodels", "topics": [ "validate_metamodel" ] }, { "page": "vis_1_param", "title": "Visualise the distribution of a single parameter", "topics": [ "vis_1_param" ] }, { "page": "vis_2_params", "title": "Visualise the distribution of two parameters", "topics": [ "vis_2_params" ] } ], "_readme": "https://github.com/xa4p/pacheck/raw/HEAD/README.md", "_rundeps": [ "assertthat", "base64enc", "bbmle", "bdsmatrix", "bit", "bit64", "boot", "brio", "bslib", "cachem", "callr", "cli", "clipr", "codetools", "cpp11", "crayon", "data.table", "data.tree", "deldir", "desc", "deSolve", "DiagrammeR", "diffobj", "digest", "dplyr", "evaluate", "farver", "fastGHQuad", "fastmap", "fitdistrplus", "flexsurv", "fontawesome", "foreach", "fs", "generics", "ggplot2", "glmnet", "glue", "gtable", "gtools", "highr", "hms", "htmltools", "htmlwidgets", "igraph", "interp", "isoband", "iterators", "jquerylib", "jsonlite", "knitr", "labeling", "lattice", "lifecycle", "lsoda", "magrittr", "MASS", "Matrix", "memoise", "mgcv", "mime", "moments", "mstate", "muhaz", "mvtnorm", "nlme", "numDeriv", "otel", "pillar", "pkgbuild", "pkgconfig", "pkgload", "plyr", "praise", "prettyunits", "processx", "progress", "ps", "purrr", "quadprog", "R6", "randomForestSRC", "rappdirs", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "readr", "reshape2", "rlang", "rmarkdown", "rprojroot", "rstpm2", "rstudioapi", "S7", "sass", "scales", "shape", "signal", "simsurv", "statmod", "stringi", "stringr", "survival", "testthat", "tibble", "tidyr", "tidyselect", "tinytex", "tzdb", "utf8", "vctrs", "viridisLite", "visNetwork", "vroom", "waldo", "withr", "xfun", "yaml" ], "_vignettes": [ { "source": "Metamodel-Workflow.Rmd", "filename": "Metamodel-Workflow.html", "title": "Metamodel-Workflow", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Model Fitting & Parameter Information", "Linear Model", "Variable Transformation", "Random Forest Model", "Variable importance", "Tuning nodesize and mtry", "Partial & marginal plots", "Lasso Model", "Model Validation", "Train/test split and Linear Model", "K-fold Cross-Validation and Random Forest Model", "New Dataset and Lasso Model", "Making Predictions", "1. Input: vector (Linear Model)", "2. Input: dataframe (Lasso Model)", "3. Output: vector (Random Forest Model)", "4. Output: dataframe (Linear Model)" ], "created": "2024-01-12 15:41:01", "modified": "2025-04-01 08:29:46", "commits": 7 } ], "_score": 5.7737864449811935, "_indexed": true, "_nocasepkg": "pacheck", "_universes": [ "xa4p" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.2.2.9000", "date": "2026-06-09T06:59:13.000Z", "distro": "noble", "commit": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "fileid": "43112e09142311cc258545d3f7c85388fc59b14ff75c5b3b5b72fa63b5c062fc", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/xa4p/actions/runs/27189204268" }, { "r": "4.6.0", "os": "linux", "version": "0.2.2.9000", "date": "2026-06-09T06:59:18.000Z", "distro": "noble", "commit": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "fileid": "5458f0d03ae44c126ddd8006c6caae9878df4ce4f4a38ba905252aaaa951a9c2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/xa4p/actions/runs/27189204268" }, { "r": "4.5.3", "os": "mac", "version": "0.2.2.9000", "date": "2026-06-09T07:06:45.000Z", "commit": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "fileid": "14b9ccab2af92d5be0f0b0a7e7ec73acd9766fcde95de545ee6bb93cf3a663a3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/xa4p/actions/runs/27189204268" }, { "r": "4.6.0", "os": "mac", "version": "0.2.2.9000", "date": "2026-06-09T07:06:46.000Z", "commit": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "fileid": "4f8499425504ceac5519aefd4e22ea7c48c87f5398d1ec8784751c5732ac731e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/xa4p/actions/runs/27189204268" }, { "r": "4.6.0", "os": "wasm", "version": "0.2.2.9000", "date": "2026-06-09T06:59:27.000Z", "commit": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "fileid": "a0de87b51dfdb519b14049643aa41ec15f04f778059b5b946ac4fbe62877c95a", "status": "success", "buildurl": "https://github.com/r-universe/xa4p/actions/runs/27189204268" }, { "r": "4.7.0", "os": "win", "version": "0.2.2.9000", "date": "2026-06-09T06:58:31.000Z", "commit": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "fileid": "f3756a9a52d1872fd2532f527b8c34381dab7733938d1f5719d06757f8716d64", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/xa4p/actions/runs/27189204268" }, { "r": "4.5.3", "os": "win", "version": "0.2.2.9000", "date": "2026-06-09T06:58:17.000Z", "commit": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "fileid": "55639f822b963f08031326d53b97b287c56ea00dd5c19673aa73a9bae163909d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/xa4p/actions/runs/27189204268" }, { "r": "4.6.0", "os": "win", "version": "0.2.2.9000", "date": "2026-06-09T06:59:04.000Z", "commit": "2dd584c5a2e98cd8cb12218d95a67d960f9816c8", "fileid": "4277ec4a147048cd89fb7d4c2351cbc3a5e1133eb67df544dde16e1f33519bc1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/xa4p/actions/runs/27189204268" } ] }