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    "laplace_plr_tail",
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    "rdp_composition",
    "rdp_to_epsilon",
    "rlaplace",
    "simulate_data",
    "simulate_gaussian_losses",
    "spend",
    "stat_sensitivities",
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      "object": "example_microdata",
      "class": [
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      ],
      "fields": [
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        "age",
        "hours",
        "region",
        "income"
      ],
      "rows": 2000,
      "table": true,
      "tojson": true
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      "page": "advanced_composition_epsilon",
      "title": "Advanced composition",
      "topics": [
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      ]
    },
    {
      "page": "analytic_gaussian_mechanism",
      "title": "Analytic Gaussian mechanism",
      "topics": [
        "analytic_gaussian_mechanism"
      ]
    },
    {
      "page": "analytic_gaussian_sigma",
      "title": "Analytic Gaussian calibration (Balle & Wang, 2018)",
      "topics": [
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      ]
    },
    {
      "page": "basic_composition",
      "title": "Basic (sequential) composition",
      "topics": [
        "basic_composition"
      ]
    },
    {
      "page": "can_spend",
      "title": "Check whether a release fits in the remaining budget",
      "topics": [
        "can_spend"
      ]
    },
    {
      "page": "clip_gradients",
      "title": "Per-sample gradient clipping",
      "topics": [
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    },
    {
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      "title": "Compare composition rules over a workflow",
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      ]
    },
    {
      "page": "compare_utility",
      "title": "Compare utility of non-private and private fits",
      "topics": [
        "compare_utility"
      ]
    },
    {
      "page": "confint.dp_lm",
      "title": "Confint interface for dp_lm objects",
      "topics": [
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      ]
    },
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      "title": "Fast per-sample gradient clipping (C++)",
      "topics": [
        "cpp_clip_gradients"
      ]
    },
    {
      "page": "cpp_rlaplace",
      "title": "Fast Laplace sampling (C++)",
      "topics": [
        "cpp_rlaplace"
      ]
    },
    {
      "page": "dp_anova",
      "title": "DP one-way ANOVA F-test",
      "topics": [
        "dp_anova"
      ]
    },
    {
      "page": "dp_chisq_test",
      "title": "DP chi-square test of independence",
      "topics": [
        "dp_chisq_test"
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    },
    {
      "page": "dp_confint",
      "title": "Privacy-aware confidence intervals",
      "topics": [
        "dp_confint"
      ]
    },
    {
      "page": "dp_glm",
      "title": "DP-SGD for generalized linear models",
      "topics": [
        "dp_glm"
      ]
    },
    {
      "page": "dp_histogram",
      "title": "DP histogram",
      "topics": [
        "dp_histogram"
      ]
    },
    {
      "page": "dp_ks_test",
      "title": "DP Kolmogorov-Smirnov test",
      "topics": [
        "dp_ks_test"
      ]
    },
    {
      "page": "dp_lm",
      "title": "Differentially private linear regression",
      "topics": [
        "dp_lm"
      ]
    },
    {
      "page": "dp_lm_sensitivity",
      "title": "Global L2 sensitivity of OLS coefficients",
      "topics": [
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    },
    {
      "page": "dp_mean",
      "title": "DP mean",
      "topics": [
        "dp_mean"
      ]
    },
    {
      "page": "dp_median",
      "title": "DP median via the exponential mechanism",
      "topics": [
        "dp_median"
      ]
    },
    {
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      "title": "DP quantile via the exponential mechanism",
      "topics": [
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    },
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      "title": "DP two-sample t-test",
      "topics": [
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      ]
    },
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      "title": "Utility diagnostics for DP estimators",
      "topics": [
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      ]
    },
    {
      "page": "dp_variance",
      "title": "DP variance",
      "topics": [
        "dp_variance"
      ]
    },
    {
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      "title": "Empirical delta from simulated privacy losses",
      "topics": [
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      ]
    },
    {
      "page": "epsilon_to_rdp",
      "title": "Convert epsilon-DP to zCDP (RDP) parameter",
      "topics": [
        "epsilon_to_rdp"
      ]
    },
    {
      "page": "example_microdata",
      "title": "Census-like example microdata",
      "topics": [
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    },
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    },
    {
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      "title": "Gaussian mechanism",
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      "title": "Classic Gaussian noise scale",
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    },
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      "topics": [
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        "laplace_plr_tail"
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    },
    {
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      "topics": [
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      "title": "Print method for dp_confint objects",
      "topics": [
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    },
    {
      "page": "print.dp_estimate",
      "title": "Print method for dp_estimate objects",
      "topics": [
        "print.dp_estimate"
      ]
    },
    {
      "page": "print.dp_glm",
      "title": "Print method for dp_glm objects",
      "topics": [
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      ]
    },
    {
      "page": "print.dp_htest",
      "title": "Print method for dp_htest objects",
      "topics": [
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      ]
    },
    {
      "page": "print.dp_lm",
      "title": "Print method for dp_lm objects",
      "topics": [
        "print.dp_lm"
      ]
    },
    {
      "page": "print.privacy_budget",
      "title": "Print method for privacy_budget objects",
      "topics": [
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    },
    {
      "page": "print.summary.dp_lm",
      "title": "Print method for summary.dp_lm objects",
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    {
      "page": "rdp_composition",
      "title": "RDP composition",
      "topics": [
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    },
    {
      "page": "rdp_to_epsilon",
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      "page": "rlaplace",
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    {
      "page": "simulate_data",
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      "topics": [
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    },
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