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  "Title": "Kernel-Based Causal Distributional Testing",
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  "Authors@R": "c(\nperson(\"Max\", \"Moldovan\", , \"max.moldovan@adelaide.edu.au\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0001-9680-8474\"))\n)",
  "Description": "Kernel-based hypothesis tests for causal inference and\ndistributional treatment effects. Implements backdoor-adjusted\nHSIC (bd-HSIC) for testing causal association, and doubly\nrobust kernel statistics (DR-DATE, DR-DETT) for testing\ndistributional treatment effects beyond mean shifts. Supports\nbinary, continuous, and mixed treatments, hierarchical/nested\ndata structures, and scales to large datasets via Nystrom\napproximation and random Fourier features. This package depends\non 'PESTO' (GPL (>= 3)); kernR's own sources are released under\nthe MIT licence, but the installed combination with 'PESTO' is\na combined work subject to the terms of the GPL (>= 3).",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/max578/kernR, https://max578.github.io/kernR/",
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  "Date/Publication": "2026-10-16 01:58:30 UTC",
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  "Author": "Max Moldovan [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0001-9680-8474>)",
  "Maintainer": "Max Moldovan <max.moldovan@adelaide.edu.au>",
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    "orchestra_manifest",
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    "posterior_sample_aggregate",
    "predict_density_ratio",
    "relative_entropy",
    "relative_entropy_ensemble",
    "resolve_bandwidth",
    "rff_features",
    "select_bandwidth",
    "taci_test",
    "tidy",
    "verify_manifest",
    "weighted_hsic_stat"
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      "title": "Aggregate-Likelihood Downscaling",
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        "orchestra manifest"
      ],
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        "as_orchestra_manifest.kernel_test_result",
        "as_orchestra_manifest.mechanism_consistency_result"
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    },
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      "title": "Assess Propensity Score Overlap",
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    },
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      "title": "Backdoor-HSIC Test for Causal Association",
      "concept": [
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        "calibration_suite.default"
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      "title": "Objective Causal Influence Range (threshold-free)",
      "topics": [
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    },
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      "title": "Kernel k-sample Concordance Test",
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        "low-rank acceleration"
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    },
    {
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      "title": "Coverage / Calibration Diagnostic for a Predictive Ensemble",
      "concept": [
        "goodness-of-fit tests"
      ],
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        "coverage_test.default",
        "coverage_test.pesto_ensemble",
        "coverage_test.pesto_ensemble_manifest"
      ]
    },
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      "title": "Kernel Distribution Regression",
      "concept": [
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      ]
    },
    {
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    {
      "page": "dr_date_test",
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      "concept": [
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      ]
    },
    {
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    },
    {
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      "title": "Compute Effective Sample Size",
      "concept": [
        "density ratio and propensity"
      ],
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      ]
    },
    {
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        "estimate_density_ratio"
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    },
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        "density ratio and propensity"
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    },
    {
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      "title": "Estimate Conditional Mean Embedding via Kernel Ridge Regression",
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    },
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    },
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    },
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    },
    {
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      "title": "HSIC-Based Distributional Sensitivity Index",
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      "title": "HSIC Independence Test",
      "concept": [
        "independence and two-sample tests"
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    },
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      "page": "hsic_test_nystrom",
      "title": "HSIC Independence Test via Low-Rank Factorisation",
      "concept": [
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      "page": "is_kernR_abstention",
      "title": "Did a kernR result decline to stand behind its own verdict?",
      "topics": [
        "is_kernR_abstention"
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      "page": "joint_coverage_test",
      "title": "Joint (Multivariate) Calibration Diagnostic for a Predictive Ensemble",
      "concept": [
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        "joint_coverage_test.default",
        "joint_coverage_test.pesto_ensemble",
        "joint_coverage_test.pesto_ensemble_manifest"
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      "title": "Unified Kernel Causal Test",
      "concept": [
        "causal association tests"
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      "topics": [
        "kernel_causal_test"
      ]
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      "title": "Kernel-Based Statistical Downscaling",
      "concept": [
        "downscaling and embeddings"
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      ]
    },
    {
      "page": "kernel_matrix",
      "title": "Compute a Kernel Matrix",
      "concept": [
        "kernel primitives"
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        "kernel_matrix"
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    },
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      "page": "kernel_spec",
      "title": "Create a Kernel Specification",
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        "kernel primitives"
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      ]
    },
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      "title": "Kernel Stein Discrepancy Goodness-of-Fit Test",
      "concept": [
        "goodness-of-fit tests"
      ],
      "topics": [
        "ksd_test"
      ]
    },
    {
      "page": "ksd_test_nystrom",
      "title": "Accelerated Kernel Stein Discrepancy Goodness-of-Fit Test (Nystrom)",
      "concept": [
        "goodness-of-fit tests",
        "low-rank acceleration"
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    },
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      "title": "Latin-Hypercube Design Over Bounded Parameters",
      "concept": [
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    },
    {
      "page": "mechanism_consistency_test",
      "title": "Mechanism-consistency test",
      "concept": [
        "causal association tests"
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      "topics": [
        "mechanism_consistency_test"
      ]
    },
    {
      "page": "mmd_ppc",
      "title": "MMD Posterior-Predictive Check",
      "concept": [
        "posterior predictive checks"
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        "mmd_ppc",
        "mmd_ppc.default",
        "mmd_ppc.pesto_ensemble",
        "mmd_ppc.pesto_ensemble_manifest"
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      "title": "MMD Two-Sample Test",
      "concept": [
        "independence and two-sample tests"
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      "title": "Finite-difference score from a log-density",
      "concept": [
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      "title": "The orchestra ensemble-manifest contract (kernR-side implementation)",
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