{ "_id": "6acecb93d9de2f3f33fc7e41", "Package": "EDI", "Type": "Package", "Title": "Experimental Design and Inference", "Version": "1.0.3", "Authors@R": "c(person(given = \"Adam\",\nfamily = \"Kapelner\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"adam.kapelner@mail.huji.ac.il\",\ncomment = c(ORCID = \"0000-0001-5985-6792\")))", "Description": "Implements a comprehensive suite of experimental designs,\nboth fixed (e.g., block, stratified, matched-pair, cluster,\nfactorial, and mixed-integer-programming-based optimal designs)\nand sequential (including matching-on-the-fly designs, biased\ncoin designs, and covariate-adaptive urn designs that assign\ntreatment one subject at a time while maintaining covariate\nbalance), for continuous, incidence, count, proportion,\nsurvival, and ordinal response types. For each design and\nresponse type combination, provides the corresponding inference\nprocedures, including exact, asymptotic, distribution-free, and\nresampling-based (bootstrap, jackknife, and randomization)\nmethods, so that estimation and testing are always matched to\nhow the data were generated. An 'InferenceSuite' facility runs\nall applicable inference procedures for a given design and\nresponse type at once and reports a single Cauchy-combined\np-value summarizing their evidence. A built-in simulation\nframework supports power analysis and operating-characteristic\nstudies across designs, response types, and inference\nprocedures, with optional parallelization via 'mirai'. Missing\ncovariate data is handled automatically via built-in\nimputation. 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Prof. of Data Science and Statistics at Hebrew University of Jerusalem, my PhD is in Statistics, my main research is in experimental design." }, "_downloads": { "count": 188, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/EDI" }, "_devurl": "https://github.com/kapelner/edi", "_pkgdown": "https://kapelner.github.io/EDI/", "_searchresults": 1252, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/EDI.html", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0.2", "date": "2026-10-07" } ], "_exports": [ ".normalize_optimizer_algorithm", "build_cox_data_cache_cpp", "build_stratified_cox_data_cache_cpp", "check_package_installed", "clear_local_EDI_optimization", "compute_coxph_rand_bootstrap_cpp", "ContinKKRobustRegrIVWCSource", 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"topics": [ "InferenceContinKKRobustRegrOneLik" ] }, { "page": "InferenceContinLin", "title": "Lin (2013) Covariate-Adjusted OLS Inference for Continuous Responses", "topics": [ "InferenceContinLin" ] }, { "page": "InferenceContinOLS", "title": "OLS Inference for Continuous Responses", "topics": [ "InferenceContinOLS" ] }, { "page": "InferenceContinQuantileRegr", "title": "Quantile Regression Inference for Continuous Responses", "concept": [ "median regression", "quantile regression" ], "topics": [ "InferenceContinQuantileRegr" ] }, { "page": "InferenceContinRobustRegr", "title": "Robust (M/MM-Estimator) Regression Inference for Continuous Responses", "topics": [ "InferenceContinRobustRegr" ] }, { "page": "InferenceCountHurdleNegBin", "title": "Hurdle Negative Binomial Regression Inference for Count Responses", "topics": [ "InferenceCountHurdleNegBin" ] }, { "page": "InferenceCountHurdlePoisson", "title": "Hurdle Poisson Regression Inference for Count Responses", "topics": [ "InferenceCountHurdlePoisson" ] }, { "page": "InferenceCountKKCondPoissonOneLik", "title": "One-Likelihood Conditional-Poisson Inference for KK Count Designs", "topics": [ "InferenceCountKKCondPoissonOneLik" ] }, { "page": "InferenceCountKKGLMM", "title": "GLMM Inference for KK Designs with Count Response", "topics": [ "InferenceCountKKGLMM" ] }, { "page": "InferenceCountKKHurdlePoissonIVWC", "title": "KK Hurdle Poisson IVWC Inference for Count Responses", "topics": [ "InferenceCountKKHurdlePoissonIVWC" ] }, { "page": "InferenceCountKKHurdlePoissonOneLik", "title": "KK Hurdle-Poisson Combined-Likelihood Inference for Count Responses", "topics": [ "InferenceCountKKHurdlePoissonOneLik" ] }, { "page": "InferenceCountNegBin", "title": "Negative Binomial Regression Inference for Count Responses", "topics": [ "InferenceCountNegBin" ] }, { "page": "InferenceCountPoisson", "title": "Poisson Regression Inference for Count Responses", "topics": [ "InferenceCountPoisson" ] }, { "page": 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"InferenceIncidBinomialIdentityRiskDiff" ] }, { "page": "InferenceIncidCMH", "title": "CMH Blocked Incidence Inference", "topics": [ "InferenceIncidCMH" ] }, { "page": "InferenceIncidExactBinomial", "title": "Exact Binomial (McNemar-Type) Incidence Inference for Matched-Pair Designs", "topics": [ "InferenceIncidExactBinomial" ] }, { "page": "InferenceIncidExactFisher", "title": "Exact Fisher (Conditional Hypergeometric) Incidence Inference", "topics": [ "InferenceIncidExactFisher" ] }, { "page": "InferenceIncidExactZhang", "title": "Exact Zhang Combined-Test Incidence Inference", "topics": [ "InferenceIncidExactZhang" ] }, { "page": "InferenceIncidExtendedRobins", "title": "Extended Robins Blocked Incidence Inference", "topics": [ "InferenceIncidExtendedRobins" ] }, { "page": "InferenceIncidGCompRiskDiff", "title": "G-Computation Risk-Difference Inference for Binary Responses", "topics": [ "InferenceIncidGCompRiskDiff" ] }, { "page": "InferenceIncidGCompRiskRatio", "title": "G-Computation Risk-Ratio Inference for Binary Responses", "topics": [ "InferenceIncidGCompRiskRatio" ] }, { "page": "InferenceIncidKKCondLogitGLMMIVWC", "title": "Conditional Logistic Plus GLMM IVWC Inference for KK Designs", "topics": [ "InferenceIncidKKCondLogitGLMMIVWC" ] }, { "page": "InferenceIncidKKCondLogitGLMMOneLik", "title": "Conditional Logistic Plus GLMM Combined-Likelihood Inference for KK Designs", "topics": [ "InferenceIncidKKCondLogitGLMMOneLik" ] }, { "page": "InferenceIncidKKCondLogitIVWC", "title": "Conditional Logistic IVWC Inference (KK Designs, Binary Response)", "topics": [ "InferenceIncidKKCondLogitIVWC" ] }, { "page": "InferenceIncidKKCondLogitOneLik", "title": "One-Likelihood Conditional-Logistic Inference for KK Binary Designs", "topics": [ "InferenceIncidKKCondLogitOneLik" ] }, { "page": "InferenceIncidKKGCompRiskDiff", "title": "G-Computation Risk-Difference Inference for KK Designs with Binary Responses", "topics": [ "InferenceIncidKKGCompRiskDiff" ] }, { "page": "InferenceIncidKKGCompRiskRatio", "title": "G-Computation Risk-Ratio Inference for KK Designs with Binary Responses", "topics": [ "InferenceIncidKKGCompRiskRatio" ] }, { "page": "InferenceIncidKKGEE", "title": "GEE Inference for KK Designs with Binary Response", "topics": [ "InferenceIncidKKGEE" ] }, { "page": "InferenceIncidKKModifiedPoisson", "title": "Modified-Poisson Inference for KK Designs with Binary Responses", "topics": [ "InferenceIncidKKModifiedPoisson" ] }, { "page": "InferenceIncidKKNewcombeRiskDiff", "title": "KK Newcombe Risk-Difference IVWC Inference for Binary Responses", "topics": [ "InferenceIncidKKNewcombeRiskDiff", "KKNewcombeRiskDiffIVWCSource" ] }, { "page": "InferenceIncidLogBinomial", "title": "Log-Binomial Regression Inference for Incidence Responses", "topics": [ "InferenceIncidLogBinomial" ] }, { "page": "InferenceIncidLogRegr", "title": "Logistic Regression Inference for Incidence Responses", "topics": [ "InferenceIncidLogRegr" ] }, { "page": 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"InferenceIncidWald" ] }, { "page": "InferenceOrdinalAdjCatLogitRegr", "title": "Adjacent Category Logit Regression Inference for Ordinal Responses", "topics": [ "InferenceOrdinalAdjCatLogitRegr" ] }, { "page": "InferenceOrdinalCauchitRegr", "title": "Cauchit Regression Inference for Ordinal Responses", "topics": [ "InferenceOrdinalCauchitRegr" ] }, { "page": "InferenceOrdinalCloglogRegr", "title": "Cumulative Cloglog Inference for Ordinal Responses", "topics": [ "InferenceOrdinalCloglogRegr" ] }, { "page": "InferenceOrdinalContRatioRegr", "title": "Continuation Ratio Regression Inference for Ordinal Responses", "topics": [ "InferenceOrdinalContRatioRegr" ] }, { "page": "InferenceOrdinalGCompMeanDiff", "title": "G-Computation Mean-Difference Inference for Ordinal Responses", "topics": [ "InferenceOrdinalGCompMeanDiff" ] }, { "page": "InferenceOrdinalJonckheereTerpstraTest", "title": "Jonckheere-Terpstra (JT) Test for Ordinal Responses", "topics": [ "InferenceOrdinalJonckheereTerpstraTest" ] }, { "page": "InferenceOrdinalKKCLMM", "title": "Ordinal KK CLMM (Proportional Odds / logit link)", "topics": [ "InferenceOrdinalKKCLMM" ] }, { "page": "InferenceOrdinalKKCLMMCauchit", "title": "Ordinal KK CLMM (Cauchit link)", "topics": [ "InferenceOrdinalKKCLMMCauchit" ] }, { "page": "InferenceOrdinalKKCLMMCloglog", "title": "Ordinal KK CLMM (Complementary log-log link)", "topics": [ "InferenceOrdinalKKCLMMCloglog" ] }, { "page": "InferenceOrdinalKKCLMMProbit", "title": "Ordinal KK CLMM (Probit link)", "topics": [ "InferenceOrdinalKKCLMMProbit" ] }, { "page": "InferenceOrdinalKKCondAdjCatLogitRegr", "title": "Adjacent Category Logit Inference for KK Matching-on-the-fly Designs", "topics": [ "InferenceOrdinalKKCondAdjCatLogitRegr" ] }, { "page": "InferenceOrdinalKKGEE", "title": "GEE Inference for KK Designs with Ordinal Response", "topics": [ "InferenceOrdinalKKGEE" ] }, { "page": "InferenceOrdinalKKGLMM", "title": "GLMM Inference for KK 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"InferenceOrdinalRidit" ] }, { "page": "InferenceOrdinalStereotypeLogitRegr", "title": "Stereotype Logit Regression Inference for Ordinal Responses", "topics": [ "InferenceOrdinalStereotypeLogitRegr" ] }, { "page": "InferencePropBetaRegr", "title": "Beta Regression Inference for Proportion Responses", "topics": [ "InferencePropBetaRegr" ] }, { "page": "InferencePropFractionalLogit", "title": "Fractional Logit Inference for Proportion Responses", "topics": [ "InferencePropFractionalLogit" ] }, { "page": "InferencePropGCompMeanDiff", "title": "G-Computation Mean-Difference Inference for Proportion Responses", "topics": [ "InferencePropGCompMeanDiff" ] }, { "page": "InferencePropKKGEE", "title": "GEE Inference for KK Designs with Proportion Response", "topics": [ "InferencePropKKGEE" ] }, { "page": "InferencePropKKGLMM", "title": "KK GLMM Inference for Proportion Responses", "topics": [ "InferencePropKKGLMM" ] }, { "page": "InferencePropKKQuantileRegrIVWC", "title": "Quantile Regression 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"InferenceSurvivalKKRankRegrIVWC" ] }, { "page": "InferenceSurvivalKKStratCoxPHIVWC", "title": "Stratified Cox / Standard Cox Compound Inference for KK Designs", "topics": [ "InferenceSurvivalKKStratCoxPHIVWC" ] }, { "page": "InferenceSurvivalKKStratCoxPHOneLik", "title": "Stratified Cox Combined-Likelihood Compound Inference for KK Designs", "topics": [ "InferenceSurvivalKKStratCoxPHOneLik" ] }, { "page": "InferenceSurvivalKKWeibullMarginal", "title": "Marginal (Cluster-Robust) Weibull Inference for KK Matched-Pair Survival Designs", "topics": [ "InferenceSurvivalKKWeibullMarginal", "SurvivalKKWeibullMarginalSource" ] }, { "page": "InferenceSurvivalKMDiff", "title": "Kaplan-Meier Median-Difference Inference for Survival Responses", "concept": [ "Kaplan-Meier", "median survival time" ], "topics": [ "InferenceSurvivalKMDiff" ] }, { "page": "InferenceSurvivalLogRank", "title": "Log-Rank Inference for Survival Data with Censoring", "concept": [ "log-rank test", "survival analysis" ], 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